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Keywords to visual categories:
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Earlier:
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People detection; People tracking; Collaborative system; Video
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Earlier: A2, A3, A4, A5, Only:
Real-time tracking of single people and groups simultaneously by
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finite state machines
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Earlier: A1, A3, A2:
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BMVC11(xx-yy).
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1110
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Earlier: A1, A2, A3:
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IEEE DOI
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Earlier: A1, A3, A2:
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Computational modeling
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See also Cooperative passers-by tracking with a mobile robot and external cameras.
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Monte Carlo methods
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Patch-based tracking
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graph theory
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Data models
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Feature extraction
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Ding, Y.P.[Yi-Peng],
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Micro-Doppler Trajectory Estimation of Pedestrians Using a
Continuous-Wave Radar,
GeoRS(52), No. 9, Sept 2014, pp. 5807-5819.
IEEE DOI
1407
CW radar
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Yildiz, A.[Alparslan],
Takemura, N.[Noriko],
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IEICE(E97-D), No. 8, August 2014, pp. 2124-2130.
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Springer DOI
1402
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Chen, S.[Si],
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Elsevier DOI
1406
Visual tracking
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Yuan, D.D.[De-Dong],
Dong, J.[Jie],
Su, S.Z.[Song-Zhi],
Li, S.Z.[Shao-Zi],
Ji, R.R.[Rong-Rong],
Pursuing Detector Efficiency for Simple Scene Pedestrian Detection,
MMMod14(II: 140-150).
Springer DOI
1405
BibRef
Shuai, B.[Bing],
Su, S.Z.[Song-Zhi],
Li, S.Z.[Shao-Zi],
Cheng, Y.[Yun],
Ji, R.R.[Rong-Rong],
Decomposed human localization in personal photo albums,
VCIP13(1-6)
IEEE DOI
1402
image retrieval
BibRef
Sun, S.L.[Shi-Liang],
Zhao, J.[Jing],
Gao, Q.B.[Qing-Bin],
Modeling and recognizing human trajectories with beta process hidden
Markov models,
PR(48), No. 8, 2015, pp. 2407-2417.
Elsevier DOI
1505
Human activity recognition
BibRef
Shao, Z.P.[Zhan-Peng],
Li, Y.F.[You-Fu],
Integral invariants for space motion trajectory matching and
recognition,
PR(48), No. 8, 2015, pp. 2418-2432.
Elsevier DOI
1505
Motion trajectory
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Li, Y.F.[You-Fu],
On Integral Invariants for Effective 3-D Motion Trajectory Matching
and Recognition,
Cyber(46), No. 2, February 2016, pp. 511-523.
IEEE DOI
1601
Cybernetics
BibRef
Peng, C.[Chao],
Fang, B.[Bing],
Quek, F.[Francis],
Cao, Y.[Yong],
Park, S.I.[Seung In],
Xie, L.G.[Li-Guang],
Upper Body Tracking and 3D Gesture Reconstruction Using Agent-Based
Architecture,
IJIG(15), No. 04, 2015, pp. 1550016.
DOI Link
1509
BibRef
Fang, B.[Bing],
Xie, L.G.[Li-Guang],
Chung, P.K.[Pak-Kiu],
Cao, Y.[Yong],
Quek, F.,
Full body tracking using an agent-based architecture,
AIPR08(1-7).
IEEE DOI
0810
BibRef
Xie, L.G.[Li-Guang],
Fang, B.[Bing],
Cao, Y.[Yong],
Quek, F.,
A nonlinear manifold learning framework for real-time motion estimation
using low-cost sensors,
AIPR08(1-8).
IEEE DOI
0810
BibRef
Lee, K.H.[Kuan-Hui],
Hwang, J.N.[Jenq-Neng],
On-Road Pedestrian Tracking Across Multiple Driving Recorders,
MultMed(17), No. 9, September 2015, pp. 1429-1438.
IEEE DOI
1509
data visualisation
BibRef
Feng, Y.,
Ji, M.,
Xiao, J.,
Yang, X.,
Zhang, J.J.,
Zhuang, Y.,
Li, X.,
Mining Spatial-Temporal Patterns and Structural Sparsity for Human
Motion Data Denoising,
Cyber(45), No. 12, December 2015, pp. 2693-2706.
IEEE DOI
1512
Dictionaries
BibRef
Shen, X.W.[Xue-Wei],
Sui, X.B.[Xiu-Bao],
Pan, K.[Kechen],
Tao, Y.R.[Yuan-Rong],
Adaptive pedestrian tracking via patch-based features and
spatial-temporal similarity measurement,
PR(53), No. 1, 2016, pp. 163-173.
Elsevier DOI
1602
Pedestrian tracking
BibRef
Migniot, C.[Cyrille],
Ababsa, F.[Fakhreddine],
Hybrid 3D-2D human tracking in a top view,
RealTimeIP(11), No. 4, April 2016, pp. 769-784.
WWW Link.
1604
BibRef
Musa, Z.,
Salleh, M.Z.,
Bakar, R.A.,
Watada, J.,
GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human
Movements in Large View Cases,
CirSysVideo(26), No. 8, August 2016, pp. 1433-1446.
IEEE DOI
1609
image motion analysis
BibRef
Lee, K.H.,
Hwang, J.N.,
Okopal, G.,
Pitton, J.,
Ground-Moving-Platform-Based Human Tracking Using Visual SLAM and
Constrained Multiple Kernels,
ITS(17), No. 12, December 2016, pp. 3602-3612.
IEEE DOI
1612
Cameras
BibRef
Zhang, X.G.[Xu-Guang],
Zhang, X.F.[Xu-Feng],
Wang, Y.M.[Yi-Ming],
Yu, H.[Hui],
Extended social force model-based mean shift for pedestrian tracking
under obstacle avoidance,
IET-CV(11), No. 1, February 2017, pp. 1-9.
DOI Link
1703
BibRef
Liu, C.,
Fujishiro, R.,
Christopher, L.,
Zheng, J.,
Vehicle-Bicyclist Dynamic Position Extracted From Naturalistic
Driving Videos,
ITS(18), No. 4, April 2017, pp. 734-742.
IEEE DOI
1704
Bicycles
BibRef
Lee, J.M.[Jae Moon],
Kim, S.D.[Seong-Dong],
A simulation of multiple grouping movements for pedestrians,
IJCVR(7), No. 3, 2017, pp. 276-284.
DOI Link
1704
BibRef
Klinger, T.,
Rottensteiner, F.,
Heipke, C.,
Probabilistic multi-person localisation and tracking in image
sequences,
PandRS(127), No. 1, 2017, pp. 73-88.
Elsevier DOI
1704
BibRef
Earlier:
A Dynamic Bayes Network for visual Pedestrian Tracking,
PCV14(145-150).
DOI Link
1404
Dynamic Bayesian Network
BibRef
Tageldin, A.[Ahmed],
Zaki, M.H.[Mohamed H.],
Sayed, T.[Tarek],
Examining pedestrian evasive actions as a potential indicator for
traffic conflicts,
IET-ITS(11), No. 5, June 2017, pp. 282-289.
DOI Link
1705
BibRef
Gupta, M.[Meenakshi],
Kumar, S.[Swagat],
Behera, L.[Laxmidhar],
Subramanian, V.K.,
A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile
Robot,
SMCS(47), No. 7, July 2017, pp. 1415-1427.
IEEE DOI
1706
Cameras, Robot vision systems, Robustness, Target tracking,
Visualization, Feedback linearization, K-D tree, Kalman filter,
out-of-plane rotations,
speeded up robust feature (SURF)-based human tracking, visual,
servo, controller
BibRef
Gupta, M.[Meenakshi],
Garg, S.[Sourav],
Kumar, S.[Swagat],
Behera, L.[Laxmidhar],
An on-line visual human tracking algorithm using SURF-based dynamic
object model,
ICIP13(3875-3879)
IEEE DOI
1402
Auto-regression prediction; Human Tracking; SURF
BibRef
Watanabe, T.[Takuya],
Akiyama, M.[Mitsuaki],
Mori, T.[Tatsuya],
Tracking the Human Mobility Using Mobile Device Sensors,
IEICE(E100-D), No. 8, August 2017, pp. 1680-1690.
WWW Link.
1708
BibRef
Jiang, W.C.[Wen-Chao],
Yin, Z.Z.[Zhao-Zheng],
Combining passive visual cameras and active IMU sensors for
persistent pedestrian tracking,
JVCIR(48), No. 1, 2017, pp. 419-431.
Elsevier DOI
1708
Persistent pedestrian tracking.
BibRef
Guo, G.Y.[Guang-Yi],
Chen, R.Z.[Rui-Zhi],
Ye, F.[Feng],
Chen, L.[Liang],
Pan, Y.J.[Yuan-Jin],
Liu, M.Y.[Meng-Yun],
Cao, Z.P.[Zhi-Peng],
A Pose Awareness Solution for Estimating Pedestrian Walking Speed,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Mekonnen, A.A.,
Lerasle, F.,
Comparative Evaluations of Selected Tracking-by-Detection Approaches,
CirSysVideo(29), No. 4, April 2019, pp. 996-1010.
IEEE DOI
1904
Target tracking, Detectors, Feature extraction, Visualization,
Market research, Markov processes, Tracking-by-detection, people detection
BibRef
Zhu, J.[Jiasong],
Chen, S.Y.[Si-Yuan],
Tu, W.[Wei],
Sun, K.[Ke],
Tracking and Simulating Pedestrian Movements at Intersections Using
Unmanned Aerial Vehicles,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Mínguez, R.Q.[R. Quintero],
Alonso, I.P.[I. Parra],
Fernández-Llorca, D.,
Sotelo, M.Á.,
Pedestrian Path, Pose, and Intention Prediction Through Gaussian
Process Dynamical Models and Pedestrian Activity Recognition,
ITS(20), No. 5, May 2019, pp. 1803-1814.
IEEE DOI
1905
Trajectory, Roads, Feature extraction, Hidden Markov models,
Predictive models, Data mining, Europe, Pedestrians,
pose prediction
BibRef
Utaminingrum, F.[Fitri],
Cahyaningrum, W.[Winda],
Wihandika, R.C.[Randy Cahya],
Adinugroho, S.[Sigit],
Fauzi, M.A.[Mochammad Ali],
Sari, Y.A.[Yuita Arum],
Adikara, P.P.[Putra Pandu],
Syauqy, D.[Dahnial],
Human tracking by using multiple methods and weighted products,
SIViP(13), No. 8, November 2019, pp. 1469-1476.
Springer DOI
1911
BibRef
Baqui, M.,
Löhner, R.,
PedPIV: Pedestrian Velocity Extraction From Particle Image
Velocimetry,
ITS(21), No. 2, February 2020, pp. 580-589.
IEEE DOI
2002
Correlation, Optical imaging, Optical sensors, Legged locomotion,
Aerodynamics, Tracking, Mathematical model,
pedestrian traffic planning
BibRef
Peng, S.Y.[Shi-Yu],
Su, T.L.[Ting-Li],
Jin, X.[Xuebo],
Kong, J.L.[Jian-Lei],
Bai, Y.T.[Yu-Ting],
Pedestrian motion recognition via Conv-VLAD integrated
spatial-temporal-relational network,
IET-ITS(14), No. 5, May 2020, pp. 392-400.
DOI Link
2005
BibRef
Wielebski, L.[Lukasz],
Medynska-Gulij, B.[Beata],
Halik, L.[Lukasz],
Dickmann, F.[Frank],
Time, Spatial, and Descriptive Features of Pedestrian Tracks on Set
of Visualizations,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Kwolek, B.[Bogdan],
Rymut, B.[Boguslaw],
Reconstruction of 3D human motion in real-time using particle swarm
optimization with GPU-accelerated fitness function,
RealTimeIP(17), No. 4, August 2020, pp. 821-838.
WWW Link.
2007
BibRef
Earlier: A2, A1:
Mixing Graphics and Compute for Real-Time Multiview Human Body Tracking,
ICCVG14(534-541).
Springer DOI
1410
BibRef
Trelinski, J.[Jacek],
Kwolek, B.[Bogdan],
Convolutional Neural Network-Based Action Recognition on Depth Maps,
ICCVG18(209-221).
Springer DOI
1810
BibRef
Damotharasamy, S.[Sangeetha],
Approach to model human appearance based on sparse representation for
human tracking in surveillance,
IET-IPR(14), No. 11, September 2020, pp. 2383-2394.
DOI Link
2009
BibRef
Feng, W.,
Lan, L.,
Luo, Y.,
Yu, Y.,
Zhang, X.,
Luo, Z.,
Near-Online Multi-Pedestrian Tracking via Combining Multiple
Consistent Appearance Cues,
CirSysVideo(31), No. 4, April 2021, pp. 1540-1554.
IEEE DOI
2104
Adaptation models, Trajectory, Computational modeling, Tracking,
Data models, Integrated circuit modeling,
focal triplet loss
BibRef
Tsai, T.H.[Tsung-Han],
Yao, C.H.[Chia-Hsiang],
A robust tracking algorithm for a human-following mobile robot,
IET-IPR(15), No. 3, 2021, pp. 786-796.
DOI Link
2106
BibRef
Wang, H.S.[Hong-Song],
Dong, J.[Jian],
Cheng, B.[Bin],
Feng, J.S.[Jia-Shi],
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion
Prediction,
IP(30), 2021, pp. 6096-6106.
IEEE DOI
2107
Hidden Markov models, Quaternions, Predictive models, Decoding,
Dynamics, Recurrent neural networks, Human motion prediction,
quaternion transformation
BibRef
Wang, H.S.[Hong-Song],
Wang, L.[Liang],
Feng, J.S.[Jia-Shi],
Zhou, D.Q.[Da-Quan],
Velocity-to-velocity human motion forecasting,
PR(124), 2022, pp. 108424.
Elsevier DOI
2203
Human motion prediction, Action anticipation
BibRef
Men, Q.H.[Qian-Hui],
Ho, E.S.L.[Edmond S. L.],
Shum, H.P.H.[Hubert P. H.],
Leung, H.[Howard],
A Quadruple Diffusion Convolutional Recurrent Network for Human
Motion Prediction,
CirSysVideo(31), No. 9, September 2021, pp. 3417-3432.
IEEE DOI
2109
Dynamics, Predictive models, Adaptation models,
Hidden Markov models, Computational modeling,
bi-directional predictor
BibRef
Neogi, S.[Satyajit],
Hoy, M.[Michael],
Dang, K.[Kang],
Yu, H.[Hang],
Dauwels, J.[Justin],
Context Model for Pedestrian Intention Prediction Using Factored
Latent-Dynamic Conditional Random Fields,
ITS(22), No. 11, November 2021, pp. 6821-6832.
IEEE DOI
2112
Hidden Markov models, Predictive models, Dynamics,
Vehicle dynamics, Context modeling, Safety, Task analysis,
conditional random fields
BibRef
Csönde, G.[Gergely],
Sekimoto, Y.[Yoshihide],
Kashiyama, T.[Takehiro],
Online real-time pedestrian tracking from medium altitude aerial
footage with camera motion cancellation,
CVIU(217), 2022, pp. 103386.
Elsevier DOI
2203
Remote sensing, Helicopter footage, Deep learning,
Computer vision, Online tracking, Camera motion
BibRef
Zhang, J.[Jian],
Wang, J.[Jian],
Cui, X.[Ximin],
Yuan, D.[Debao],
BDS/GPS/UWB Adaptively Robust EKF Tightly Coupled Navigation Model
Considering Pedestrian Motion Characteristics,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Cai, Y.F.[Ying-Feng],
Dai, L.[Lei],
Wang, H.[Hai],
Chen, L.[Long],
Li, Y.C.[Yi-Cheng],
Sotelo, M.A.[Miguel Angel],
Li, Z.X.[Zhi-Xiong],
Pedestrian Motion Trajectory Prediction in Intelligent Driving from
Far Shot First-Person Perspective Video,
ITS(23), No. 6, June 2022, pp. 5298-5313.
IEEE DOI
2206
Task analysis, Predictive models, Cameras, Trajectory,
Legged locomotion, Training, Adaptation models, circular training
BibRef
Xie, P.Y.[Peng-Yu],
Xu, X.[Xin],
Wang, Z.[Zheng],
Yamasaki, T.[Toshihiko],
Sampling and Re-Weighting: Towards Diverse Frame Aware Unsupervised
Video Person Re-Identification,
MultMed(24), 2022, pp. 4250-4261.
IEEE DOI
2210
Noise measurement, Target tracking, Training, Task analysis, Mars,
Data models, Clustering, re-identification, unsupervised
BibRef
Vial, A.[Alphonse],
Hendeby, G.[Gustaf],
Daamen, W.[Winnie],
van Arem, B.[Bart],
Hoogendoorn, S.[Serge],
Framework for Network-Constrained Tracking of Cyclists and
Pedestrians,
ITS(24), No. 3, March 2023, pp. 3282-3296.
IEEE DOI
2303
Target tracking, Roads, Robot sensing systems, Bayes methods,
Trajectory, Surveillance, Noise measurement, Pedestrians, cyclists,
traffic monitoring and control
BibRef
Wang, H.H.[Huan-Huan],
Jin, L.S.[Li-Sheng],
He, Y.[Yang],
Huo, Z.[Zhen],
Wang, G.Q.[Guang-Qi],
Sun, X.Y.[Xin-Yu],
Detector-Tracker Integration Framework for Autonomous Vehicles
Pedestrian Tracking,
RS(15), No. 8, 2023, pp. 2088.
DOI Link
2305
BibRef
Zhang, X.X.[Xiao-Xiong],
Ghimire, A.[Adarsh],
Javed, S.[Sajid],
Dias, J.[Jorge],
Werghi, N.[Naoufel],
Robot-Person Tracking in Uniform Appearance Scenarios:
A New Dataset and Challenges,
HMS(53), No. 3, June 2023, pp. 549-559.
IEEE DOI
2306
Robots, Target tracking, Robot kinematics, Benchmark testing,
Visualization, Recording, Video sequences,
RGB-D benchmark dataset
BibRef
Zhang, X.[Xiao],
Wang, Q.L.[Qi-Lin],
Ye, Z.M.[Zi-Ming],
Ying, H.C.[Hao-Chao],
Yu, D.X.[Dong-Xiao],
Federated Representation Learning With Data Heterogeneity for Human
Mobility Prediction,
ITS(24), No. 6, June 2023, pp. 6111-6122.
IEEE DOI
2306
Servers, Federated learning, Trajectory, Representation learning,
Predictive models, Data models, Convolution,
graph neural network
BibRef
Xu, X.Y.[Xin-Yu],
Li, Y.L.[Yong-Lu],
Lu, C.W.[Ce-Wu],
Dynamic Context Removal: A General Training Strategy for Robust Models
on Video Action Predictive Tasks,
IJCV(131), No. 12, December 2023, pp. 3272-3288.
Springer DOI
2311
BibRef
Sun, J.H.[Jian-Hua],
Li, Y.X.[Yu-Xuan],
Chai, L.[Liang],
Fang, H.S.[Hao-Shu],
Li, Y.L.[Yong-Lu],
Lu, C.W.[Ce-Wu],
Human Trajectory Prediction with Momentary Observation,
CVPR22(6457-6466)
IEEE DOI
2210
Tracking, Navigation, Social robots, Predictive models,
Feature extraction, Trajectory, Motion and tracking,
Navigation and autonomous driving
BibRef
Wang, F.[Feng],
Ni, W.C.[Wei-Chuan],
Liu, S.J.[Shao-Jiang],
Xu, Z.M.[Zhi-Ming],
Wan, Z.P.[Zhi-Ping],
An Intelligent Pedestrian Tracking Algorithm Based on Sparse Models
in Urban Road Scene,
ITS(25), No. 3, March 2024, pp. 3064-3073.
IEEE DOI
2405
Pedestrians, Target tracking, Feature extraction, Dictionaries,
Classification algorithms, Signal processing algorithms,
model update mechanism
BibRef
Yang, S.[Shubo],
Li, H.[Haolun],
Pun, C.M.[Chi-Man],
Du, C.[Chun],
Gao, H.[Hao],
Adaptive Spatial-Temporal Graph-Mixer for Human Motion Prediction,
SPLetters(31), 2024, pp. 1244-1248.
IEEE DOI
2405
Skeleton, Feature extraction, Convolution, Topology, Correlation,
Prediction algorithms, Adaptive systems, Adaptive learning,
graph convolution
BibRef
Jin, C.J.[Cheng-Jie],
Luo, Y.[Yuanwei],
Wu, C.Y.[Chen-Yang],
Song, Y.C.[Yu-Chen],
Li, D.W.[Da-Wei],
Exploring the Pedestrian Route Choice Behaviors by Machine Learning
Models,
IJGI(13), No. 5, 2024, pp. 146.
DOI Link
2405
BibRef
Mao, C.[Chen],
Tan, C.[Chong],
Hu, J.Q.[Jing-Qi],
Zheng, M.[Min],
Time-Frequency Analysis of Variable-Length WiFi CSI Signals for
Person Re-Identification,
SPLetters(31), 2024, pp. 2285-2289.
IEEE DOI
2410
Wireless fidelity, Time-frequency analysis, Feature extraction, Data models,
Vectors, Training, Security, Person re-identification, feature fusion
BibRef
Khan, S.[Salman],
Teeti, I.[Izzeddin],
Bradley, A.[Andrew],
Elhoseiny, M.[Mohamed],
Cuzzolin, F.[Fabio],
A Hybrid Graph Network for Complex Activity Detection in Video,
WACV24(6748-6758)
IEEE DOI
2404
Training, Analytical models, Uncertainty, Roads, Feature extraction,
Algorithms, Video recognition and understanding, Algorithms,
Autonomous Driving
BibRef
Teeti, I.[Izzeddin],
Bhargav, R.S.[Rongali Sai],
Singh, V.[Vivek],
Bradley, A.[Andrew],
Banerjee, B.[Biplab],
Cuzzolin, F.[Fabio],
Temporal DINO:
A Self-supervised Video Strategy to Enhance Action Prediction,
ROAD++23(3273-3283)
IEEE DOI Code:
WWW Link.
2401
action prediction.
DINO: self-distillation with no labels.
BibRef
Chen, L.H.[Ling-Hao],
Zhang, J.W.[Jia-Wei],
Li, Y.[Yewen],
Pang, Y.[Yiren],
Xia, X.B.[Xiao-Bo],
Liu, T.L.[Tong-Liang],
HumanMAC: Masked Motion Completion for Human Motion Prediction,
ICCV23(9510-9521)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhu, W.T.[Wen-Tao],
Ma, X.X.[Xiao-Xuan],
Liu, Z.Y.[Zhao-Yang],
Liu, L.[Libin],
Wu, W.[Wayne],
Wang, Y.Z.[Yi-Zhou],
MotionBERT: A Unified Perspective on Learning Human Motion
Representations,
ICCV23(15039-15053)
IEEE DOI Code:
WWW Link.
2401
BibRef
Yuan, Y.[Ye],
Song, J.[JiaMing],
Iqbal, U.[Umar],
Vahdat, A.[Arash],
Kautz, J.[Jan],
PhysDiff: Physics-Guided Human Motion Diffusion Model,
ICCV23(15964-15975)
IEEE DOI
2401
BibRef
Eisl, D.[Dominik],
Herzog, F.[Fabian],
Dugelay, J.L.[Jean-Luc],
Apvrille, L.[Ludovic],
Rigoll, G.[Gerhard],
Introducing A Framework for Single-Human Tracking Using Event-Based
Cameras,
ICIP23(3269-3273)
IEEE DOI
2312
BibRef
Wang, T.[Tsaipei],
Chiang, S.H.[Sheng-Ho],
Online Pedestrian Tracking Using A Dense Fisheye Camera Network With
Edge Computing,
ICIP23(3518-3522)
IEEE DOI
2312
BibRef
Tiwari, A.[Amogh],
Manu, P.[Pranav],
Rathore, N.[Nakul],
Srivastava, A.[Astitva],
Sharma, A.[Avinash],
ConVol-E: Continuous Volumetric Embeddings for Human-Centric Dense
Correspondence Estimation,
IMW23(6187-6195)
IEEE DOI
2309
BibRef
Nguyen, Q.Q.V.[Quang Qui-Vinh],
Le, H.D.A.[Huy Dinh-Anh],
Chau, T.T.T.[Truc Thi-Thanh],
Luu, D.T.[Duc Trung],
Chung, N.M.[Nhat Minh],
Ha, S.V.U.[Synh Viet-Uyen],
Multi-camera People Tracking With Mixture of Realistic and Synthetic
Knowledge,
AICity23(5496-5506)
IEEE DOI
2309
BibRef
Guo, W.[Wen],
Du, Y.M.[Yu-Ming],
Shen, X.[Xi],
Lepetit, V.[Vincent],
Alameda-Pineda, X.[Xavier],
Moreno-Noguer, F.[Francesc],
Back to MLP: A Simple Baseline for Human Motion Prediction,
WACV23(4798-4808)
IEEE DOI
2302
Training, Recurrent neural networks, Deep architecture,
Transformers, Discrete cosine transforms,
3D computer vision
BibRef
Das, D.[Dipankar],
Miura, J.[Jun],
Camera Motion Compensation and Person Detection in Construction Site
Using Yolo-Bayes Model,
ICPR22(4566-4572)
IEEE DOI
2212
Training, Cranes, Motion estimation, Cameras, Motion compensation,
Bayes methods, Yolo-Bayes model,
person detection
BibRef
Lucas, T.[Thomas],
Baradel, F.[Fabien],
Weinzaepfel, P.[Philippe],
Rogez, G.[Grégory],
PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting,
ECCV22(VI:417-435).
Springer DOI
2211
BibRef
Agudo, A.[Antonio],
Spline Human Motion Recovery,
ICIP22(4138-4142)
IEEE DOI
2211
Surface reconstruction, Shape, Computational modeling, Cameras,
Trajectory, Splines (mathematics), Optimization, 4D Reconstruction,
Optimization
BibRef
Xu, P.[Pei],
Hayet, J.B.[Jean-Bernard],
Karamouzas, I.[Ioannis],
SocialVAE: Human Trajectory Prediction Using Timewise Latents,
ECCV22(IV:511-528).
Springer DOI
2211
BibRef
Henning, D.F.[Dorian F.],
Laidlow, T.[Tristan],
Leutenegger, S.[Stefan],
BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking,
ECCV22(XXIX:656-673).
Springer DOI
2211
BibRef
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Future Transformer for Long-term Action Anticipation,
CVPR22(3042-3051)
IEEE DOI
2210
Visualization, Neural networks, Predictive models,
Benchmark testing, Transformers, Decoding, Action and event recognition
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Mao, W.[Wei],
Liu, M.M.[Miao-Miao],
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Weakly-supervised Action Transition Learning for Stochastic Human
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CVPR22(8141-8150)
IEEE DOI
2210
Training, Stochastic processes, Training data, Predictive models,
Transformers, Encoding, Trajectory, Motion and tracking,
Action and event recognition
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CVPR22(6467-6477)
IEEE DOI
2210
Codes, Computational modeling, Computer network reliability,
Stochastic processes, Benchmark testing, Probabilistic logic,
Robot vision
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Mao, W.[Weibo],
Zhang, W.J.[Wen-Jun],
Chen, S.[Siheng],
Remember Intentions: Retrospective-Memory-based Trajectory Prediction,
CVPR22(6478-6487)
IEEE DOI
2210
Training, Tracking, Navigation, Memory architecture, Training data,
Predictive models, Trajectory, Motion and tracking,
Navigation and autonomous driving
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Performance of Recent Tiny/Small YOLO Versions in the Context of
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2208
BibRef
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Cucchiara, R.[Rita],
First Steps Towards 3D Pedestrian Detection and Tracking from Single
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CIAP22(II:335-346).
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2205
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Calderara, S.[Simone],
Leal-Taixé, L.[Laura],
Cucchiara, R.[Rita],
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and
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ICCV21(10829-10839)
IEEE DOI
2203
Training, Learning systems, Roads, Training data, Object detection,
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Improving Attribute-Based Person Retrieval By Using A Calibrated,
Weighted, and Distribution-Based Distance Metric,
ICIP21(2378-2382)
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2201
Measurement, Biometrics (access control), Surveillance,
Image processing, Euclidean distance, Calibration, retrieval,
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Simple Baseline for Single Human Motion Forecasting,
SoMoF21(2260-2265)
IEEE DOI
2112
Training, Visualization,
Computational modeling, Benchmark testing, Trajectory
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Peng, Y.S.[Yu-Sheng],
Zhang, G.F.[Gao-Feng],
Li, X.Y.[Xiang-Yu],
Zheng, L.P.[Li-Ping],
STIRNet: A Spatial-temporal Interaction-aware Recursive Network for
Human Trajectory Prediction,
SoMoF21(2285-2293)
IEEE DOI
2112
Measurement, Uncertainty, Computational modeling,
Predictive models, Trajectory
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Padir, T.[Taskin],
Elhamifar, E.[Ehsan],
Introvert: Human Trajectory Prediction via Conditional 3D Attention,
CVPR21(16810-16820)
IEEE DOI
2111
Visualization, Solid modeling,
Computational modeling, Predictive models, Trajectory, Computational efficiency
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Chen, L.,
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Zhao, Y.,
A Real-time Photogrammetric System for Monitoring Human Movement
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ISPRS20(B2:561-566).
DOI Link
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Bellach, B.,
Morain-Nicolier, F.,
Tairi, H.,
Tracking a human being via the gray local dissimilarity map,
ISCV20(1-6)
IEEE DOI
2011
image filtering, image sequences, Kalman filters,
object tracking, gray local dissimilarity map,
Kalman Filter
BibRef
Cao, Z.[Zhe],
Gao, H.[Hang],
Mangalam, K.[Karttikeya],
Cai, Q.Z.[Qi-Zhi],
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Malik, J.[Jitendra],
Long-term Human Motion Prediction with Scene Context,
ECCV20(I:387-404).
Springer DOI
2011
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Ahmed, S.M.,
Lejbølle, A.R.,
Panda, R.,
Roy-Chowdhury, A.K.,
Camera On-Boarding for Person Re-Identification Using Hypothesis
Transfer Learning,
CVPR20(12141-12150)
IEEE DOI
2008
Cameras, Measurement, Adaptation models, Data privacy, Data models,
Machine learning, Computer vision
BibRef
Zeng, K.,
Ning, M.,
Wang, Y.,
Guo, Y.,
Hierarchical Clustering With Hard-Batch Triplet Loss for Person
Re-Identification,
CVPR20(13654-13662)
IEEE DOI
2008
Training, Merging, Adaptation models, Supervised learning,
Distance measurement, Optimization, Cameras
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Zhang, Z.S.[Zhi-Shuai],
Gao, J.Y.[Ji-Yang],
Mao, J.H.[Jun-Hua],
Liu, Y.K.[Yu-Kai],
Anguelov, D.[Dragomir],
Li, C.C.[Cong-Cong],
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection
and Trajectory Prediction,
CVPR20(11343-11352)
IEEE DOI
2008
Trajectory, Proposals,
Feature extraction, Task analysis, Object detection, Detectors
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Saini, N.,
Price, E.,
Tallamraju, R.,
Enficiaud, R.,
Ludwig, R.,
Martinovic, I.,
Ahmad, A.,
Black, M.,
Markerless Outdoor Human Motion Capture Using Multiple Autonomous
Micro Aerial Vehicles,
ICCV19(823-832)
IEEE DOI
2004
autonomous aerial vehicles, calibration, cameras,
Global Positioning System, image capture, image colour analysis,
Shape
BibRef
Bi, H.,
Fang, Z.,
Mao, T.,
Wang, Z.,
Deng, Z.,
Joint Prediction for Kinematic Trajectories in
Vehicle-Pedestrian-Mixed Scenes,
ICCV19(10382-10391)
IEEE DOI
2004
image motion analysis, image representation,
object tracking, pedestrians, recurrent neural nets, road traffic,
Anomaly detection
BibRef
Kotseruba, I.[Iuliia],
Rasouli, A.[Amir],
Tsotsos, J.K.[John K.],
Benchmark for Evaluating Pedestrian Action Prediction,
WACV21(1257-1267)
IEEE DOI
2106
Convolutional codes, Training, Solid modeling,
Protocols, Computational modeling, Benchmark testing
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Kotseruba, I.,
Kunic, T.,
Tsotsos, J.K.[John K.],
PIE: A Large-Scale Dataset and Models for Pedestrian Intention
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ICCV19(6261-6270)
IEEE DOI
2004
Dataset, Pedestrians.
WWW Link. intelligent transportation systems, pedestrians,
large-scale dataset, pedestrian intention estimation,
Vehicle dynamics
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Huang, Y.,
Bi, H.,
Li, Z.,
Mao, T.,
Wang, Z.,
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory
Prediction,
ICCV19(6271-6280)
IEEE DOI
2004
image motion analysis, image sequences, object detection,
pedestrians, traffic engineering computing, video surveillance,
Dynamics
BibRef
Kulkarni, P.[Pratik],
Mohan, S.[Shrey],
Rogers, S.[Samuel],
Tabkhi, H.[Hamed],
Key-Track: A Lightweight Scalable LSTM-based Pedestrian Tracker for
Surveillance Systems,
ICIAR19(II:208-219).
Springer DOI
1909
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La Cascia, M.[Marco],
Deep Motion Model for Pedestrian Tracking in 360 Degrees Videos,
CIAP19(I:36-47).
Springer DOI
1909
BibRef
Becker, S.[Stefan],
Hug, R.[Ronny],
Hübner, W.[Wolfgang],
Arens, M.[Michael],
RED: A Simple but Effective Baseline Predictor for the TrajNet
Benchmark,
AnticipateBeh18(III:138-153).
Springer DOI
1905
Evaluation of CNN for predicting pedestrian paths.
BibRef
Nimmo, J.,
Green, R.,
Pedestrian avoidance in construction sites,
IVCNZ17(1-6)
IEEE DOI
1902
cameras, learning (artificial intelligence), neural nets,
object detection, pedestrians, stereo image processing,
R200
BibRef
Dehzangi, O.,
Bache, B.A.,
Iftikhar, O.,
Activity Detection using Fusion of Multi-Pressure Sensors in Insoles,
ICPR18(3315-3321)
IEEE DOI
1812
Sensor fusion, Pressure sensors, Feature extraction,
Legged locomotion, Monitoring, Fractals
BibRef
Zhou, X.,
Chen, K.,
Zhou, Q.,
Human tracking by employing the scene information in underground coal
mines,
VCIP17(1-4)
IEEE DOI
1804
image filtering, image sequences,
learning (artificial intelligence), mining, object detection,
underground coal mine
BibRef
Jiang, Z.Q.[Zheng-Qiang],
Huynh, D.Q.[Du Q.],
Zhang, J.[Jian],
Wu, Q.[Qiang],
Part-Based Data Association for Visual Tracking,
DICTA17(1-8)
IEEE DOI
1804
Deformable part model.
Bayes methods, image colour analysis, image fusion,
image representation, image sequences, object detection,
Target tracking
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Liu, C.,
Huynh, D.Q.,
Reynolds, M.,
Learning Variance Kernelized Correlation Filters for Robust Visual
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DICTA17(1-8)
IEEE DOI
1804
filtering theory,
learning (artificial intelligence), object detection,
Visualization
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Shah, P.[Parshwa],
Garg, A.[Arpit],
Gajjar, V.[Vandit],
PeR-ViS: Person Retrieval in Video Surveillance using Semantic
Description,
WACVW21(41-50) Activity Detection
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2105
Image segmentation, Image color analysis,
Filtering, Semantics, Video surveillance
BibRef
Gajjar, V.,
Khandhediya, Y.,
Gurnani, A.,
Human Detection and Tracking for Video Surveillance:
A Cognitive Science Approach,
CogCV17(2805-2809)
IEEE DOI
1802
Clustering algorithms, Computational modeling,
Feature extraction, Prediction algorithms,
Visualization
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Boschini, M.,
Poggi, M.,
Mattoccia, S.,
Improving the reliability of 3D people tracking system by means of
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IC3D16(1-8)
IEEE DOI
1703
cameras
BibRef
Häger, G.[Gustav],
Bhat, G.[Goutam],
Danelljan, M.[Martin],
Khan, F.S.[Fahad Shahbaz],
Felsberg, M.[Michael],
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Doherty, P.[Patrick],
Combining Visual Tracking and Person Detection for Long Term Tracking
on a UAV,
ISVC16(I: 557-568).
Springer DOI
1701
BibRef
Ray, L.[Laura],
Miao, T.S.[Tian-Shun],
Towards Real-Time Detection, Tracking and Classification of Natural
Video,
CRV16(236-241)
IEEE DOI
1612
real-time motion and video processing.
Based on similarity of motion attributes.
BibRef
Nguyen, T.L.A.,
Bremond, F.,
Trojanova, J.,
Multi-object tracking of pedestrian driven by context,
AVSS16(23-29)
IEEE DOI
1611
Context
BibRef
Ramadan, H.,
Tairi, H.,
Automatic Human Segmentation in Video Using Convex Active Contours,
CGiV16(184-189)
IEEE DOI
1608
convex programming
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Vasconcelos, F.,
Vasconcelos, N.M.[Nuno M.],
Person-following UAVs,
WACV16(1-9)
IEEE DOI
1606
Computer architecture
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Hassen, Y.H.,
Ouni, T.,
Ayedi, W.[Walid],
Jallouli, M.[Mohamed],
Mono-camera person tracking based on template matching and covariance
descriptor,
ICCVIA15(1-4)
IEEE DOI
1603
cameras
BibRef
Varga, D.,
Szirányi, T.[Tamás],
Kiss, A.,
Sporas, L.,
Havasi, L.[László],
A Multi-View Pedestrian Tracking Method in an Uncalibrated Camera
Network,
MSF15(184-191)
IEEE DOI
1602
Cameras
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Cucchiara, R.[Rita],
Detection of Human Movements with Pressure Floor Sensors,
CIAP15(II:620-630).
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1511
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Greco, L.,
Ritrovato, P.[Pierluigi],
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Vento, M.[Mario],
Improving reliability of people tracking by adding semantic reasoning,
AVSS16(194-199)
IEEE DOI
1611
Cognition
BibRef
Greco, L.,
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Saggese, A.[Alessia],
Vento, M.[Mario],
Abnormal Event Recognition:
A Hybrid Approach Using SemanticWeb Technologies,
PETS16(1297-1304)
IEEE DOI
1612
BibRef
Gaüzère, B.[Benoit],
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Saggese, A.[Alessia],
Vento, M.[Mario],
Human Tracking Using a Top-Down and Knowledge Based Approach,
CIAP15(I:257-267).
Springer DOI
1511
BibRef
Ioannidis, D.,
Krinidis, S.,
Tzovaras, D.,
Likothanassis, S.,
Human tracking & visual spatio-temporal statistical analysis,
ICIP14(3417-3419)
IEEE DOI
1502
Buildings
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A 3D Tracker for Ground-Moving Objects,
ISVC14(II: 695-705).
Springer DOI
1501
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1408
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People Tracking Based on Predictions and Graph-Cuts Segmentation,
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1311
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Lanz, O.[Oswald],
Exploiting Color Constancy for Robust Tracking Under Non-uniform
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ICIAR14(II: 403-410).
Springer DOI
1410
BibRef
Mutlu, S.[Sinan],
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Learning the Scene Illumination for Color-Based People Tracking in
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CIAP13(II:683-692).
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1309
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Godil, A.[Afzal],
Bostelman, R.[Roger],
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Shneier, M.[Michael],
Hong, T.[Tsai],
3D Ground-Truth Systems for Object/Human Recognition and Tracking,
GT13(719-726)
IEEE DOI
1309
Ground-Truth Systems
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Fan, Z.[Zipei],
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1304
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Pose-Configurable Generic Tracking of Elongated Objects,
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1403
configurable tracking
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EBE: Elastic blob ensemble for coarse human tracking,
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1302
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A motion-enhanced hybrid Probability Hypothesis Density filter for
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1411
Bayes methods
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Real-Time Multi-human Tracking Using a Probability Hypothesis Density
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Islam, A.[Atiq],
Makhanov, A.[Andrei],
Yang, R.[Rui],
Towards unlocking web video: Automatic people tracking and clustering,
InterNet09(47-54).
IEEE DOI
0906
BibRef
Yi, O.Y.[Ou-Yang],
Yun, L.[Ling],
Xing, J.G.[Jian-Guo],
Based-APF human motion tracking from monocular videos,
IASP09(179-183).
IEEE DOI
0904
BibRef
Datta, A.[Ankur],
Sheikh, Y.A.[Yaser Ajmal],
Kanade, T.[Takeo],
Modeling the product manifold of posture and motion,
THEMIS09(1034-1041).
IEEE DOI
0910
BibRef
Sheikh, Y.A.[Yaser Ajmal],
Datta, A.[Ankur],
Kanade, T.[Takeo],
On the sustained tracking of human motion,
FG08(1-7).
IEEE DOI
0809
BibRef
Yamashita, T.[Takayoshi],
Fujiyoshi, H.[Hironobu],
Lao, S.H.[Shi-Hong],
Kawade, M.[Masato],
Human tracking based on Soft Decision Feature and online real boosting,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Tsuduki, Y.J.[Yu-Ji],
Fujiyoshi, H.[Hironobu],
A Method for Visualizing Pedestrian Traffic Flow Using SIFT Feature
Point Tracking,
PSIVT09(25-36).
Springer DOI
0901
BibRef
Shah, S.K.[Shishir K.],
Commentary Paper on 'Person Tracking With Audio-Visual Cues Using the
Iterative Decoding Framework',
AVSBS08(268-269).
IEEE DOI
0809
See also Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework.
BibRef
Nicolescu, M.[Mircea],
Commentary Paper on 'Dynamic Models for People Detection and Tracking',
AVSBS08(36-37).
IEEE DOI
0809
See also Dynamic Models for People Detection and Tracking.
BibRef
Tung, T.[Tony],
Matsuyama, T.[Takashi],
Human motion tracking using a color-based particle filter driven by
optical flow,
MLMotion08(xx-yy).
0810
BibRef
Ji, J.W.[Jing-Wei],
Buch, S.[Shyamal],
Soto, A.[Alvaro],
Niebles, J.C.[Juan Carlos],
End-to-End Joint Semantic Segmentation of Actors and Actions in Video,
ECCV18(II: 734-749).
Springer DOI
1810
BibRef
Qian, Y.J.[Yi-Jun],
Yu, L.J.[Li-Jun],
Liu, W.H.[Wen-He],
Hauptmann, A.G.[Alexander G.],
Rethinking Zero-shot Action Recognition:
Learning from Latent Atomic Actions,
ECCV22(IV:104-120).
Springer DOI
2211
BibRef
Liu, W.H.[Wen-He],
Kang, G.L.[Guo-Liang],
Huang, P.Y.[Po-Yao],
Chang, X.J.[Xiao-Jun],
Yu, L.J.[Li-Jun],
Qian, Y.J.[Yi-Jun],
Liang, J.W.[Jun-Wei],
Gui, L.K.[Liang-Ke],
Wen, J.[Jing],
Chen, P.[Peng],
Hauptmann, A.G.[Alexander G.],
Argus: Efficient Activity Detection System for Extended Video
Analysis,
WACVWS20(126-133)
IEEE DOI
2006
Proposals, Feature extraction, Surveillance, Object detection,
Trajectory, Graphics processing units, Cameras
BibRef
Liang, J.W.[Jun-Wei],
Jiang, L.[Lu],
Niebles, J.C.[Juan Carlos],
Hauptmann, A.G.[Alexander G.],
Fei-Fei, L.[Li],
Peeking Into the Future: Predicting Future Person Activities and
Locations in Videos,
CVPR19(5718-5727).
IEEE DOI
2002
BibRef
Niebles, J.C.[Juan Carlos],
Han, B.H.[Bo-Hyung],
Ferencz, A.[Andras],
Fei-Fei, L.[Li],
Extracting Moving People from Internet Videos,
ECCV08(IV: 527-540).
Springer DOI
0810
BibRef
Niebles, J.C.[Juan Carlos],
Han, B.H.[Bo-Hyung],
Fei-Fei, L.[Li],
Efficient extraction of human motion volumes by tracking,
CVPR10(655-662).
IEEE DOI
1006
BibRef
Miller, A.[Andrew],
Basharat, A.[Arslan],
White, B.[Brandyn],
Liu, J.G.[Jin-Gen],
Shah, M.[Mubarak],
Person and Vehicle Tracking in Surveillance Video,
MTPH07(xx-yy).
Springer DOI
0705
BibRef
Miller, A.[Andrew],
Babenko, P.[Pavel],
Hu, M.[Min],
Shah, M.[Mubarak],
Person Tracking in UAV Video,
MTPH07(xx-yy).
Springer DOI
0705
BibRef
Gallagher, A.C.[Andrew C.],
Chen, T.H.[Tsu-Han],
Clothing cosegmentation for recognizing people,
CVPR08(1-8).
IEEE DOI
0806
For tracking.
See also Using a Markov Network to Recognize People in Consumer Images.
BibRef
Ren, X.F.[Xiao-Feng],
Finding people in archive films through tracking,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Liu, G.J.[Guo-Jun],
Tang, X.L.[Xiang-Long],
Huang, J.H.[Jian-Hua],
Liu, J.F.[Jia-Feng],
Sun, D.[Da],
Hierarchical Model-Based Human Motion Tracking Via Unscented Kalman
Filter,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Pflugfelder, R.[Roman],
Bischof, H.[Horst],
Tracking across non-overlapping views via geometry,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Earlier:
People tracking across two distant self-calibrated cameras,
AVSBS07(393-398).
IEEE DOI
0709
BibRef
Tong, M.[Minglei],
Liu, Y.C.[Yun-Cai],
Shared Latent Dynamical Model for Human Tracking from Videos,
MCAM07(102-111).
Springer DOI
0706
BibRef
Shivappa, S.T.[Shankar T.],
Trivedi, M.M.[Mohan M.],
Rao, B.D.[Bhaskar D.],
Person Tracking with Audio-Visual Cues Using the Iterative Decoding
Framework,
AVSBS08(260-267).
IEEE DOI
0809
See also Commentary Paper on Person Tracking With Audio-Visual Cues Using the Iterative Decoding Framework.
BibRef
Fihl, P.,
Corlin, R.,
Park, S.,
Moeslund, T.B.,
Trivedi, M.M.,
Tracking of Individuals in Very Long Video Sequences,
ISVC06(I: 60-69).
Springer DOI
0611
BibRef
Chen, X.[Xi],
He, Z.H.[Zhi-Hai],
Anderson, D.,
Keller, J.M.,
Skubic, M.,
Adaptive Silouette Extraction and Human Tracking in Complex and Dynamic
Environments,
ICIP06(561-564).
IEEE DOI
0610
BibRef
Taycher, L.[Leonid],
Demirdjian, D.[David],
Darrell, T.J.[Trevor J.],
Shakhnarovich, G.[Gregory],
Conditional Random People: Tracking Humans with CRFs and Grid Filters,
CVPR06(I: 222-229).
IEEE DOI
0606
BibRef
Demirdjian, D.[David],
Taycher, L.[Leonid],
Shakhnarovich, G.[Gregory],
Grauman, K.[Kristen],
Darrell, T.J.[Trevor J.],
Avoiding the 'Streetlight Effect':
Tracking by Exploring Likelihood Modes,
ICCV05(I: 357-364).
IEEE DOI
0510
Find modes and use for priors.
BibRef
Taycher, L.[Leonid],
Fisher, III, J.W.[John W.],
Darrell, T.J.[Trevor J.],
Combining Simple Models to Approximate Complex Dynamics,
SMVP04(94).
Springer DOI
0505
BibRef
Zhao, Q.[Qi],
Kang, J.M.[Jin-Man],
Tao, H.[Hai],
Hua, W.[Wei],
Part Based Human Tracking In A Multiple Cues Fusion Framework,
ICPR06(I: 450-455).
IEEE DOI
0609
BibRef
Elgammal, A.M.[Ahmed M.],
Learning to Track: Conceptual Manifold Map for Closed-Form Tracking,
CVPR05(I: 724-730).
IEEE DOI
0507
Learn appearence model and track.
BibRef
Elgammal, A.M.[Ahmed M.],
Davis, L.S.[Larry S.],
Probabilistic Framework for Segmenting People Under Occlusion,
ICCV01(II: 145-152).
IEEE DOI
0106
BibRef
Siebel, N.T.,
Maybank, S.J.,
Fusion of Multiple Tracking Algorithms for Robust People Tracking,
ECCV02(IV: 373 ff.).
Springer DOI
0205
BibRef
Earlier:
Real-Time Tracking of Pedestrians and Vehicles,
PETS01(xx-yy).
0110
BibRef
Siebel, N.T.[Nils T],
Design and Implementation of People Tracking Algorithms for
Visual Surveillance Applications,
Ph.D.Thesis, March 2003, Department of Computer Science,
The University of Reading, Reading, UK.
PDF File.
Code, Tracking.
WWW Link.
BibRef
0303
Bennewitz, M.,
Burgard, W.,
Cielniak, G.,
Utilizing Learned Motion Patterns to Robustly Track Persons,
PETS03(102-109).
non-uniform time intervals allowed.
BibRef
0300
Zhou, J.P.[Jian-Peng],
Hoang, J.[Jack],
Real Time Robust Human Detection and Tracking System,
OTCBVS05(III: 149-149).
IEEE DOI
0507
BibRef
Latzel, M.[Markus],
Darcourt, E.[Emilie],
Tsotsos, J.K.[John K.],
People Tracking using Robust Motion Detection and Estimation,
CRV05(270-275).
IEEE DOI
0505
BibRef
Yelal, M.R.,
Sasi, S.,
Human tracking in real-time video for varying illumination,
AVSBS05(141-146).
IEEE DOI
0602
BibRef
Abdelkader, M.F.[Mohamed F.],
Chellappa, R.[Rama],
Zheng, Q.F.[Qin-Fen],
Chan, A.L.[Alex L.],
Integrated Motion Detection and Tracking for Visual Surveillance,
CVS06(28).
IEEE DOI
0602
BibRef
Do, Y.T.[Yong-Tae],
Region Based Detection of Occluded People for the Tracking in Video
Image Sequences,
CAIP05(829).
Springer DOI
0509
BibRef
Caillette, F.,
Howard, T.,
Real-Time Markerless Human Body Tracking with 3-D Voxel Reconstruction,
BMVC04(xx-yy).
HTML Version.
0508
BibRef
Roth, D.[Daniel],
Doubek, P.[Petr],
Van Gool, L.J.[Luc J.],
Bayesian Pixel Classification for Human Tracking,
Motion05(II: 78-83).
IEEE DOI
0502
BibRef
Govindaraju, D.[Dinesh],
Browning, B.[Brett],
Veloso, M.[Manuela],
Person Tracking from a Dynamic Balancing Platform,
CMU-CS-TR-04-181. 2004.
HTML Version.
0501
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Yang, M.T.[Mau-Tsuen],
Shih, Y.C.[Ya-Chun],
Wang, S.C.[Shih-Chun],
People tracking by integrating multiple features,
ICPR04(IV: 929-932).
IEEE DOI
0409
BibRef
Kettnaker, V.M.[Vera M.],
Gahm, J.K.,
Closed-loop person tracking and detection,
CRV04(315-320).
IEEE DOI
0408
BibRef
Lan, X.Y.[Xiang-Yang],
Huttenlocher, D.P.,
A unified spatio-temporal articulated model for tracking,
CVPR04(I: 722-729).
IEEE DOI
PDF File.
0408
BibRef
Demirdjian, D.,
Ko, T.,
Darrell, T.J.,
Constraining human body tracking,
ICCV03(1071-1078).
IEEE DOI
0311
BibRef
Merven, B.[Bruno],
Nicolls, F.[Fred],
de Jager, G.[Gerhard],
Auto Camera Calibration Method for Person Tracking Applications,
SCIA03(91-100).
Springer DOI
0310
BibRef
Luck, J.P.,
Debrunner, C.H.,
Hoff, W.,
He, Q.,
Small, D.E.,
Development and analysis of a real-time human motion tracking system,
WACV02(196-202).
IEEE DOI
0303
BibRef
Kang, J.M.[Jin-Man],
Cohen, I.,
Medioni, G.,
Continuous multi-views tracking using tensor voting,
Motion02(181-186).
IEEE DOI
0303
See also Detection and Tracking of Moving Objects from Overlapping EO and IR Sensors.
BibRef
Kang, E.Y.[Eun-Young],
Cohen, I.,
Medioni, G.,
A robust and non-iterative estimation method of multiple 2d motions,
ICIP04(V: 3367-3370).
IEEE DOI
PDF File.
0505
BibRef
Earlier:
Robust affine motion estimation in joint image space using tensor
voting,
ICPR02(IV: 256-259).
IEEE DOI
PDF File.
0211
BibRef
Jesus, R.M.[Rui M.],
Abrantes, A.J.[Arnaldo J.],
Marques, J.S.[Jorge S.],
Tracking the Human Body Using Multiple Predictors,
AMDO02(155 ff.).
Springer DOI
0303
BibRef
Farmer, M.E.,
Hsu, R.L.[Rein-Lien],
Jain, A.K.,
Interacting multiple model (IMM) kalman filters for robust high speed
human motion tracking,
ICPR02(II: 20-23).
IEEE DOI
0211
BibRef
Piau, N.K.[Ng Kim],
Ranganath, S.,
Tracking people,
ICPR02(II: 370-373).
IEEE DOI
0211
BibRef
Zhao, H.X.[Hung-Xin],
Huang, Y.S.[Yea-Shuan],
Real-time multiple-person tracking system,
ICPR02(II: 897-900).
IEEE DOI
0211
BibRef
Senior, A.W.,
Tracking People with Probabilistic Appearance Models,
PETS02(48-55).
0207
BibRef
Loy, G.,
Fletcher, L.S.,
Apostoloff, N.,
Zelinsky, A.,
An adaptive fusion architecture for target tracking,
AFGR02(248-253).
IEEE DOI
0206
BibRef
Plaenkers, R.,
Fua, P.,
Model-Based Silhouette Extraction for Accurate People Tracking,
ECCV02(II: 325 ff.).
Springer DOI
0205
BibRef
Fablet, R.,
Black, M.J.,
Automatic Detection and Tracking of Human Motion with a View-Based
Representation,
ECCV02(I: 476 ff.).
Springer DOI
0205
BibRef
Kwatra, V.[Vivek],
Bobick, A.F.[Aaron F.],
Johnson, A.Y.[Amos Y.],
Temporal Integration of Multiple Silhouette-based Body-part Hypotheses,
CVPR01(II:758-764).
IEEE DOI
0110
See also Appearance-based Body Model for Multiple People Tracking, An.
BibRef
Boyd, J.E.[Jeffrey E.],
Sayles, M.[Maxwell],
Real-Time Video Phase-Locked Loops,
ICCV01(II: 742).
IEEE DOI
0106
BibRef
Poon, E.,
Fleet, D.J.,
Hybrid Monte Carlo filtering: Edge-based people tracking,
Motion02(151-158).
IEEE DOI
0303
BibRef
Choo, K.[Kiam],
Fleet, D.J.[David J.],
People Tracking Using Hybrid Monte Carlo Filtering,
ICCV01(II: 321-328).
IEEE DOI
0106
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Stuart, B.V.[Bradley V.],
Aloimonos, Y.F.[Yi-Fannis],
Ray Carving with Gradients and Motion,
HUMO00(81-87).
IEEE Top Reference.
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Tracking walking person.
BibRef
Zhuang, Y.,
Zhu, Q.,
Pan, Y.,
Liu, X.,
Hierarchical Model Based Human Motion Tracking,
ICIP00(Vol III: 86-89).
IEEE DOI
0008
BibRef
Rajagopalan, A.N.,
Chellappa, R.,
Higher-order Spectral Analysis of Human Motion,
ICIP00(Vol III: 230-233).
IEEE DOI
0008
BibRef
Murakami, S.I.,
Wada, A.,
An Automatic Extraction and Display Method of Walking Person's
Trajectories,
ICPR00(Vol IV: 611-614).
IEEE DOI
0009
BibRef
Bui, H.H.,
Venkatesh, S.,
West, G.A.W.,
A Probablistic Framework for Tracking in Wide-area Environments,
ICPR00(Vol IV: 702-705).
IEEE DOI
0009
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Sigal, L.,
Bhatia, S.,
Roth, S.,
Black, M.J.,
Isard, M.,
Tracking loose-limbed people,
CVPR04(I: 421-428).
IEEE DOI
0408
BibRef
Roth, S.,
Sigal, L.,
Black, M.J.,
Gibbs likelihoods for Bayesian tracking,
CVPR04(I: 886-893).
IEEE DOI
0408
BibRef
Yamamoto, M.[Masanobu],
Yagishita, K.[Katsutoshi],
Scene Constraints-Aided Tracking of Human Body,
CVPR00(I: 151-156).
IEEE DOI
0005
Constraints help!
BibRef
Heisele, B.,
Kressel, U.,
Ritter, W.,
Tracking Non-Rigid Moving Objects Based on Color Cluster Flow,
CVPR97(257-260).
IEEE DOI
9704
People walking; not feature tracking.
BibRef
Kato, H.[Hirokazu],
Inokuchi, S.[Seiji],
Nakazawa, A.[Atsushi],
Human Tracking Using Distributed Vision Systems,
ICPR98(Vol I: 593-596).
IEEE DOI
9808
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Pingali, S.V.G.K.[Sarma V.G.K.],
Segen, J.[Jakub],
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real time using contours of the objects and feature paths,
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Segen, J.[Jakub],
Pingali, G.S.,
A Camera Based System for Tracking People in Real Time,
ICPR96(III: 63-67).
IEEE DOI
9608
(ATT Bell Laboratories, USA)
BibRef
Pingali, G.S., and
Segen, J.[Jakub],
Performance Evaluation of People Tracking Systems,
WACV96(33-38).
IEEE DOI
9609
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Pedestrian Trajectory Analysis, Pedestrian Tracking .