Wang, G.[Gan],
Inigo, R.M.[Rafael M.],
Detection and Tracking of Single-Pixel Targets
Based on Trajectory Continuity,
IVC(11), No. 10, December 1993, pp. 641-655.
Elsevier DOI
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9312
Wang, G.[Gan],
Inigo, R.M.[Rafael M.],
McVey, E.S.,
A Single-Pixel Target Detection and Tracking System,
ICPR90(I: 99-103).
IEEE DOI
BibRef
9000
Partsinevelos, P.[Panayotis],
Agouris, P.[Peggy],
Stefanidis, A.[Anthony],
Reconstructing spatiotemporal trajectories from sparse data,
PandRS(60), No. 1, December 2005, pp. 3-16.
Elsevier DOI
0602
BibRef
Earlier: A1, A3, A2:
Automated Spatiotemporal Scaling for Video Generalization,
ICIP01(I: 177-180).
IEEE DOI
0108
BibRef
Frentzos, E.[Elias],
Gratsias, K.[Kostas],
Pelekis, N.[Nikos],
Theodoridis, Y.[Yannis],
Algorithms for Nearest Neighbor Search on Moving Object Trajectories,
GeoInfo(11), No. 2, June 2007, pp. 159-193.
Springer DOI
0709
BibRef
Qiao, S.,
Shen, D.,
Wang, X.,
Han, N.,
Zhu, W.,
A Self-Adaptive Parameter Selection Trajectory Prediction Approach
via Hidden Markov Models,
ITS(16), No. 1, February 2015, pp. 284-296.
IEEE DOI
1502
Clustering algorithms
BibRef
Garrigues, M.[Matthieu],
Manzanera, A.[Antoine],
Bernard, T.M.[Thierry M.],
Video Extruder: a semi-dense point tracker for extracting beams of
trajectories in real time,
RealTimeIP(11), No. 4, April 2016, pp. 785-798.
Springer DOI
1604
BibRef
Wang, L.,
Zhang, L.,
Yi, Z.,
Trajectory Predictor by Using Recurrent Neural Networks in Visual
Tracking,
Cyber(47), No. 10, October 2017, pp. 3172-3183.
IEEE DOI
1709
Feature extraction, Predictive models, Target tracking, Trajectory,
trajectory prediction, visual, tracking
BibRef
Yu, H.Y.[Hai-Yang],
Wang, J.[Jian],
Sun, X.Y.[Xiao-Ying],
Surveillance video online prediction using multilayer ELM with object
principal trajectory,
SIViP(13), No. 6, September 2019, pp. 1243-1251.
Springer DOI
1908
BibRef
Sheng, H.[Hao],
Chen, J.H.[Jia-Hui],
Zhang, Y.[Yang],
Ke, W.[Wei],
Xiong, Z.[Zhang],
Yu, J.Y.[Jing-Yi],
Iterative Multiple Hypothesis Tracking With Tracklet-Level
Association,
CirSysVideo(29), No. 12, December 2019, pp. 3660-3672.
IEEE DOI
1912
Target tracking, Object tracking, Trajectory, Benchmark testing,
Visualization, Feature extraction, Multiple object tracking,
polynomial-time approximation
BibRef
Wu, M.Y.[Min-Ye],
Ling, H.B.[Hai-Bin],
Bi, N.[Ning],
Gao, S.H.[Sheng-Hua],
Hu, Q.[Qiang],
Sheng, H.[Hao],
Yu, J.Y.[Jing-Yi],
Visual Tracking With Multiview Trajectory Prediction,
IP(29), 2020, pp. 8355-8367.
IEEE DOI
2008
Target tracking, Cameras, Correlation, Trajectory, Robustness,
Visualization, Deep learning, multiview, tracking,
trajectory
BibRef
van der El, K.,
Pool, D.M.,
van Paassen, M.R.M.,
Mulder, M.,
Effects of Target Trajectory Bandwidth on Manual Control Behavior in
Pursuit and Preview Tracking,
HMS(50), No. 1, February 2020, pp. 68-78.
IEEE DOI
2001
Manual control, modeling, pursuit, preview, target trajectory bandwidth
BibRef
Choi, D.[Dooseop],
Min, K.[Kyoungwook],
Choi, J.[Jeongdan],
Regularising neural networks for future trajectory prediction via
inverse reinforcement learning framework,
IET-CV(14), No. 5, August 2020, pp. 192-200.
DOI Link
2007
BibRef
Chai, R.,
Savvaris, A.,
Tsourdos, A.,
Chai, S.,
Xia, Y.,
Wang, S.,
Solving Trajectory Optimization Problems in the Presence of
Probabilistic Constraints,
Cyber(50), No. 10, October 2020, pp. 4332-4345.
IEEE DOI
2009
Planning, Probabilistic logic, Trajectory optimization,
Optimal control, Prediction algorithms, Approximation function,
trajectory optimization
BibRef
Barata, C.[Catarina],
Nascimento, J.C.[Jacinto C.],
Lemos, J.M.[Joăo M.],
Marques, J.S.[Jorge S.],
Sparse motion fields for trajectory prediction,
PR(110), 2021, pp. 107631.
Elsevier DOI
2011
Human motion analysis, Trajectory prediction, Sparse motion fields
BibRef
Bilro, P.[Pedro],
Barata, C.[Catarina],
Marques, J.S.[Jorge S.],
Pedestrian Trajectory Prediction Using LSTM and Sparse Motion Fields,
ICPR22(3529-3535)
IEEE DOI
2212
Measurement, Prediction methods, Trajectory, Pattern recognition,
Collision avoidance, Task analysis, Intelligent systems
BibRef
Barata, C.[Catarina],
Nascimento, J.C.[Jacinto C.],
Marques, J.S.[Jorge S.],
Improving a Switched Vector Field Model for Pedestrian Motion Analysis,
ACIVS18(3-13).
Springer DOI
1810
BibRef
Earlier:
A sparse approach to pedestrian trajectory modeling using multiple
motion fields,
ICIP17(2538-2542)
IEEE DOI
1803
Estimation, Hidden Markov models, Matching pursuit algorithms,
Optimization, Surveillance, Switches, Trajectory, Motion estimation,
sparse representation
BibRef
Roonizi, A.K.[A. Kheirati],
An Efficient Algorithm for Maneuvering Target Tracking,
SPMag(38), No. 1, January 2021, pp. 122-130.
IEEE DOI
2012
[Tips Tricks].
Target tracking, Signal processing algorithms,
Stability analysis, Trajectory, Sensors, Noise measurement, State estimation
For Comments:
See also Corrections and Comments on An Efficient Algorithm for Maneuvering Target Tracking.
BibRef
Cheng, H.[Hao],
Liao, W.T.[Wen-Tong],
Yang, M.Y.[Michael Ying],
Rosenhahn, B.[Bodo],
Sester, M.[Monika],
AMENet: Attentive Maps Encoder Network for trajectory prediction,
PandRS(172), 2021, pp. 253-266.
Elsevier DOI
2101
Trajectory prediction, Generative model, Encoder
BibRef
Kontopoulos, I.[Ioannis],
Makris, A.[Antonios],
Tserpes, K.[Konstantinos],
A Deep Learning Streaming Methodology for Trajectory Classification,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Yu, J.[Jian],
Zhou, M.[Meng],
Wang, X.[Xin],
Pu, G.L.[Guo-Liang],
Cheng, C.Q.[Cheng-Qi],
Chen, B.[Bo],
A Dynamic and Static Context-Aware Attention Network for Trajectory
Prediction,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Li, B.R.[Bing-Rong],
Pi, D.C.[De-Chang],
Hou, M.R.[Meng-Ru],
EP-LSTM: Novel prediction algorithm for moving object destination,
IET-ITS(15), No. 2, 2021, pp. 235-247.
DOI Link
2106
BibRef
Liu, S.J.[Si-Jing],
Chen, G.[Gang],
Wei, L.[Long],
Li, G.Q.[Guo-Qi],
A novel compression approach for truck GPS trajectory data,
IET-ITS(15), No. 1, 2021, pp. 74-83.
DOI Link
2106
BibRef
Zhou, J.Y.[Jin-Yang],
Li, T.C.[Tian-Cheng],
Wang, X.X.[Xiao-Xu],
Zheng, L.T.[Li-Tao],
Target Tracking With Equality/Inequality Constraints Based on
Trajectory Function of Time,
SPLetters(28), 2021, pp. 1330-1334.
IEEE DOI
2107
Trajectory, Mathematical model, Target tracking, Time measurement,
Roads, Noise measurement, Sensors, Constrained target tracking,
trajectory function of time
BibRef
Shi, Z.Y.[Zhi-Yuan],
Xu, M.[Min],
Pan, Q.[Quan],
4-D Flight Trajectory Prediction With Constrained LSTM Network,
ITS(22), No. 11, November 2021, pp. 7242-7255.
IEEE DOI
2112
Agriculture, Forestry, Psychology, Internet, Quality assessment,
Product design, Decision making, Trajectory prediction,
linear least squares
BibRef
Nie, P.[Pin],
Chen, Z.J.[Zhen-Jie],
Xia, N.[Nan],
Huang, Q.[Qiuhao],
Li, F.[Feixue],
Trajectory Similarity Analysis with the Weight of Direction and
k-Neighborhood for AIS Data,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link
2112
Use automatic identification system data.
BibRef
Ouyang, Z.H.[Zhi-Hong],
Xue, L.[Lei],
Ding, F.[Feng],
Li, D.[Da],
PSOTSC: A Global-Oriented Trajectory Segmentation and Compression
Algorithm Based on Swarm Intelligence,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Xu, S.[Sheng],
Ou, Y.S.[Yong-Sheng],
Wang, Z.Y.[Zhi-Yang],
Duan, J.H.[Jiang-Hua],
Li, H.[Hao],
Learning-Based Kinematic Control Using Position and Velocity Errors
for Robot Trajectory Tracking,
SMCS(52), No. 2, February 2022, pp. 1100-1110.
IEEE DOI
2201
Robots, Trajectory, Trajectory tracking, Kinematics,
Heuristic algorithms, Acceleration, stability analysis
BibRef
Wang, D.[Ding],
Cheng, L.[Long],
Yan, J.[Jun],
Self-Learning Robust Control Synthesis and Trajectory Tracking of
Uncertain Dynamics,
Cyber(52), No. 1, January 2022, pp. 278-286.
IEEE DOI
2201
Robust control, Optimal control, Cost function,
Trajectory tracking, Nonlinear systems, Feedback control, tracking design
BibRef
Yu, X.H.[Xiao-Hong],
Long, W.[Wei],
Li, Y.Y.[Yan-Yan],
Gao, L.[Lin],
Shi, X.Q.[Xiao-Qiu],
Trajectory dimensionality reduction and hyperparameter settings of
DBSCAN for trajectory clustering,
IET-ITS(16), No. 5, 2022, pp. 691-710.
DOI Link
2204
BibRef
Oprea, S.[Sergiu],
Martinez-Gonzalez, P.[Pablo],
Garcia-Garcia, A.[Alberto],
Castro-Vargas, J.A.[John Alejandro],
Orts-Escolano, S.[Sergio],
Garcia-Rodriguez, J.[Jose],
Argyros, A.A.[Antonis A.],
A Review on Deep Learning Techniques for Video Prediction,
PAMI(44), No. 6, June 2022, pp. 2806-2826.
IEEE DOI
2205
Survey, Video Prediction. Predictive models, Task analysis, Uncertainty, Deep learning,
Computational modeling, Video sequences, Training,
self-supervised learning
BibRef
He, C.Z.[Cai-Zhen],
Chen, L.P.[Lan-Ping],
Xu, L.M.[Li-Ming],
Yang, C.C.[Chang-Chun],
Liu, X.F.[Xiao-Feng],
Yang, B.[Biao],
IRLSOT: Inverse reinforcement learning for scene-oriented trajectory
prediction,
IET-ITS(16), No. 6, 2022, pp. 769-781.
DOI Link
2205
BibRef
Allig, C.[Christoph],
Wanielik, G.[Gerd],
Unequal Dimension Track-to-Track Fusion Approaches Using Covariance
Intersection,
ITS(23), No. 6, June 2022, pp. 5881-5886.
IEEE DOI
2206
Optimization, Acceleration, Uncertainty, Correlation,
Intelligent transportation systems, Roads, Proposals,
collective perception
BibRef
Dulek, B.[Berkan],
Corrections and Comments on 'An Efficient Algorithm for Maneuvering
Target Tracking',
SPMag(39), No. 4, July 2022, pp. 138-139.
IEEE DOI
2207
[Corrections and Comments]
Target tracking, Signal processing algorithms
See also Efficient Algorithm for Maneuvering Target Tracking, An.
BibRef
Mo, X.Y.[Xiao-Yu],
Huang, Z.[Zhiyu],
Xing, Y.[Yang],
Lv, C.[Chen],
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced
Graph Attention Network,
ITS(23), No. 7, July 2022, pp. 9554-9567.
IEEE DOI
2207
Trajectory, Vehicle dynamics, Task analysis, Graph neural networks,
Roads, Feature extraction, Aerodynamics, Trajectory prediction,
heterogeneous interactions
BibRef
Yang, D.[Degui],
Li, J.[Jin],
Liang, B.[Buge],
Wang, X.[Xing],
Peng, Z.H.[Zheng-Hong],
A Multi-Rotor Drone Micro-Motion Parameter Estimation Method Based on
CVMD and SVD,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Lin, X.Y.[Xin-You],
Tang, Y.L.[Yun-Liang],
Zhou, B.H.[Bin-Hao],
Improved Model Predictive Control Path Tracking Strategy Based an
Online Updating Algorithm With Cosine Similarity and a Horizon Factor,
ITS(23), No. 8, August 2022, pp. 12429-12438.
IEEE DOI
2208
Fuzzy control, Tires, Real-time systems, Neural networks,
Vehicle dynamics, Sensitivity, Predictive control,
fuzzy control
BibRef
Styles, O.[Olly],
Guha, T.[Tanaya],
Sanchez, V.[Victor],
Multi-Camera Trajectory Forecasting With Trajectory Tensors,
PAMI(44), No. 11, November 2022, pp. 8482-8491.
IEEE DOI
2210
BibRef
Earlier:
Multiple Object Forecasting: Predicting Future Object Locations in
Diverse Environments,
WACV20(679-688)
IEEE DOI
2006
Trajectory, Forecasting, Tensors, Task analysis, Surveillance,
Uncertainty, Trajectory forecasting, multi-camera tracking,
multi-camera trajectory forecasting.
Feature extraction, Task analysis,
Visualization, Urban areas, Meteorology
BibRef
Kesa, O.[Oluwafunmilola],
Styles, O.[Olly],
Sanchez, V.[Victor],
Multiple Object Tracking and Forecasting: Jointly Predicting Current
and Future Object Locations,
RWSurvil22(560-569)
IEEE DOI
2202
Predictive models, Benchmark testing, Trajectory, Object tracking
BibRef
Sun, G.M.[Gui-Ming],
Qi, H.[Heng],
Shen, Y.M.[Yan-Ming],
Yin, B.C.[Bao-Cai],
TCSA-Net: A Temporal-Context-Based Self-Attention Network for Next
Location Prediction,
ITS(23), No. 11, November 2022, pp. 20735-20745.
IEEE DOI
2212
Trajectory, Predictive models, Transformers, Task analysis,
Recurrent neural networks, Markov processes, Feature extraction, self attention
BibRef
Ahmed, I.[Imtiaz],
Jun, M.[Mikyoung],
Ding, Y.[Yu],
A Spatio-Temporal Track Association Algorithm Based on Marine Vessel
Automatic Identification System Data,
ITS(23), No. 11, November 2022, pp. 20783-20797.
IEEE DOI
2212
Artificial intelligence, Trajectory, Training, Tracking,
Marine vehicles, Seaports, Radar tracking, AIS, online clustering,
trajectory tracking
BibRef
Chien, J.T.[Jen-Tzung],
Chen, Y.H.[Yi-Hsiang],
Learning Continuous-Time Dynamics With Attention,
PAMI(45), No. 2, February 2023, pp. 1906-1918.
IEEE DOI
2301
Trajectory, Mathematical models, Computational modeling,
Recurrent neural networks, Emotion recognition, Data models, Costs,
stochastic machine
BibRef
Zhao, W.[Wang],
Liu, S.H.[Shao-Hui],
Guo, H.[Hengkai],
Wang, W.P.[Wen-Ping],
Liu, Y.J.[Yong-Jin],
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving
Cameras in the Wild,
ECCV22(XXXII:523-542).
Springer DOI
2211
BibRef
Halawa, M.[Marah],
Hellwich, O.[Olaf],
Bideau, P.[Pia],
Action-Based Contrastive Learning for Trajectory Prediction,
ECCV22(XXIX:143-159).
Springer DOI
2211
BibRef
Wong, C.[Conghao],
Xia, B.[Beihao],
Hong, Z.[Ziming],
Peng, Q.[Qinmu],
Yuan, W.[Wei],
Cao, Q.[Qiong],
Yang, Y.[Yibo],
You, X.G.[Xin-Ge],
View Vertically: A Hierarchical Network for Trajectory Prediction via
Fourier Spectrums,
ECCV22(XXII:682-700).
Springer DOI
2211
BibRef
Mohamed, A.[Abduallah],
Zhu, D.[Deyao],
Vu, W.[Warren],
Elhoseiny, M.[Mohamed],
Claudel, C.[Christian],
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The
Effectiveness of Implicit Maximum Likelihood Estimation,
ECCV22(XXII:463-479).
Springer DOI
2211
BibRef
Zhong, Y.Q.[Yi-Qi],
Ni, Z.Y.[Zhen-Yang],
Chen, S.[Siheng],
Neumann, U.[Ulrich],
Aware of the History: Trajectory Forecasting with the Local Behavior
Data,
ECCV22(XXII:393-409).
Springer DOI
2211
BibRef
Li, R.C.[Ruo-Chen],
Katsigiannis, S.[Stamos],
Shum, H.P.H.[Hubert P. H.],
Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent
Class Embedding,
ICIP22(2346-2350)
IEEE DOI
2211
Measurement, Convolution, Roads, Stochastic processes,
Predictive models, Reliability engineering, self-attention
BibRef
Harley, A.W.[Adam W.],
Fang, Z.Y.[Zhao-Yuan],
Fragkiadaki, K.[Katerina],
Particle Video Revisited:
Tracking Through Occlusions Using Point Trajectories,
ECCV22(XXII:59-75).
Springer DOI
2211
BibRef
Yue, J.[Jiangbei],
Manocha, D.[Dinesh],
Wang, H.[He],
Human Trajectory Prediction via Neural Social Physics,
ECCV22(XXXIV:376-394).
Springer DOI
2211
BibRef
Wen, S.[Song],
Wang, H.[Hao],
Metaxas, D.N.[Dimitris N.],
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary
Differential Equations,
ECCV22(XXII:217-233).
Springer DOI
2211
BibRef
Tsao, L.W.[Li-Wu],
Wang, Y.K.[Yan-Kai],
Lin, H.S.[Hao-Siang],
Shuai, H.H.[Hong-Han],
Wong, L.K.[Lai-Kuan],
Cheng, W.H.[Wen-Huang],
Social-SSL: Self-supervised Cross-Sequence Representation Learning
Based on Transformers for Multi-agent Trajectory Prediction,
ECCV22(XXII:234-250).
Springer DOI
2211
BibRef
Chiara, L.F.[Luigi Filippo],
Coscia, P.[Pasquale],
Das, S.[Sourav],
Calderara, S.[Simone],
Cucchiara, R.[Rita],
Ballan, L.[Lamberto],
Goal-driven Self-Attentive Recurrent Networks for Trajectory
Prediction,
Precognition22(2517-2526)
IEEE DOI
2210
Measurement, Semantics, Stochastic processes,
Trajectory, Data mining, Task analysis
BibRef
Chen, Y.W.[Yu-Wen],
Yang, H.K.[Hsuan-Kung],
Chiu, C.C.[Chu-Chi],
Lee, C.Y.[Chun-Yi],
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories
Prediction,
Precognition22(2535-2538)
IEEE DOI
2210
BibRef
And:
ECCV22(XXII:610-626).
Springer DOI
2211
Computational modeling, Predictive models,
Prediction algorithms, Trajectory, Pattern recognition
BibRef
Gu, T.[Tianpei],
Chen, G.Y.[Guang-Yi],
Li, J.L.[Jun-Long],
Lin, C.Z.[Chun-Ze],
Rao, Y.M.[Yong-Ming],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion,
CVPR22(17092-17101)
IEEE DOI
2210
Navigation, Predictive models, Markov processes, Transformers,
Trajectory, Behavioral sciences, Pattern recognition,
Navigation and autonomous driving
BibRef
Peri, N.[Neehar],
Luiten, J.[Jonathon],
Li, M.[Mengtian],
Ošep, A.[Aljoša],
Leal-Taixé, L.[Laura],
Ramanan, D.[Deva],
Forecasting from LiDAR via Future Object Detection,
CVPR22(17181-17190)
IEEE DOI
2210
Measurement, Analytical models, Laser radar, Tracking,
Object detection, Predictive models, Trajectory,
Motion and tracking
BibRef
Xu, C.X.[Chen-Xin],
Li, M.[Maosen],
Ni, Z.Y.[Zhen-Yang],
Zhang, Y.[Ya],
Chen, S.[Siheng],
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory
Prediction with Relational Reasoning,
CVPR22(6488-6497)
IEEE DOI
2210
Representation learning, Tracking, Navigation, Neural networks,
Predictive models, Cognition, Motion and tracking,
Navigation and autonomous driving
BibRef
Xu, Y.[Yi],
Wang, L.C.[Li-Chen],
Wang, Y.Z.[Yi-Zhou],
Fu, Y.[Yun],
Adaptive Trajectory Prediction via Transferable GNN,
CVPR22(6510-6521)
IEEE DOI
2210
Training, Knowledge engineering, Adaptation models,
Predictive models, Benchmark testing, Graph neural networks,
Vision applications and systems
BibRef
Wang, C.Y.[Chao-Yang],
Li, X.Q.[Xue-Qian],
Pontes, J.K.[Jhony Kaesemodel],
Lucey, S.[Simon],
Neural Prior for Trajectory Estimation,
CVPR22(6522-6532)
IEEE DOI
2210
Laser radar, Structure from motion, Runtime, Superresolution,
Estimation, Self-supervised learning, Trajectory,
Physics-based vision and shape-from-X
BibRef
Sun, Q.[Qiao],
Huang, X.[Xin],
Gu, J.[Junru],
Williams, B.C.[Brian C.],
Zhao, H.[Hang],
M2I: From Factored Marginal Trajectory Prediction to Interactive
Prediction,
CVPR22(6533-6542)
IEEE DOI
2210
Tracking, Navigation, Roads, Predictive models, Benchmark testing,
Trajectory, Motion and tracking, Action and event recognition,
Navigation and autonomous driving
BibRef
Monti, A.[Alessio],
Porrello, A.[Angelo],
Calderara, S.[Simone],
Coscia, P.[Pasquale],
Ballan, L.[Lamberto],
Cucchiara, R.[Rita],
How many Observations are Enough? Knowledge Distillation for
Trajectory Forecasting,
CVPR22(6543-6552)
IEEE DOI
2210
Training, Tracking, Robot vision systems, Predictive models,
Transformers, Trajectory, Pattern recognition, Motion and tracking,
Robot vision
BibRef
Wang, C.[Chunnan],
Chen, X.[Xiang],
Wang, J.Z.[Jun-Zhe],
Wang, H.Z.[Hong-Zhi],
ATPFL: Automatic Trajectory Prediction Model Design under Federated
Learning Framework,
CVPR22(6553-6562)
IEEE DOI
2210
Training, Privacy, Federated learning, Tracking,
Computational modeling, Predictive models, Motion and tracking,
Vision applications and systems
BibRef
Weng, X.[Xinshuo],
Ivanovic, B.[Boris],
Kitani, K.[Kris],
Pavone, M.[Marco],
Whose Track Is It Anyway? Improving Robustness to Tracking Errors
with Affinity-based Trajectory Prediction,
CVPR22(6563-6572)
IEEE DOI
2210
Tracking, Navigation, Pipelines, Predictive models, Robustness,
Trajectory, Planning, Motion and tracking, Navigation and autonomous driving
BibRef
Zhang, Q.Z.[Qing-Zhao],
Hu, S.[Shengtuo],
Sun, J.C.[Jia-Chen],
Chen, Q.A.[Qi Alfred],
Mao, Z.M.[Z. Morley],
On Adversarial Robustness of Trajectory Prediction for Autonomous
Vehicles,
CVPR22(15138-15147)
IEEE DOI
2210
Smoothing methods, Navigation, Perturbation methods, Semantics,
Predictive models, Robustness, Trajectory,
Navigation and autonomous driving
BibRef
Chen, Y.X.[Yu-Xiao],
Ivanovic, B.[Boris],
Pavone, M.[Marco],
ScePT: Scene-consistent, Policy-based Trajectory Predictions for
Planning,
CVPR22(17082-17091)
IEEE DOI
2210
Contingency management, Predictive models, Trajectory, Planning,
Pattern recognition, Autonomous vehicles, Scene analysis and understanding
BibRef
Lee, M.[Mihee],
Sohn, S.S.[Samuel S.],
Moon, S.[Seonghyeon],
Yoon, S.[Sejong],
Kapadia, M.[Mubbasir],
Pavlovic, V.[Vladimir],
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory
Prediction,
CVPR22(2211-2220)
IEEE DOI
2210
Measurement, Uncertainty, Semantics, Stochastic processes,
Predictive models, Probabilistic logic, Trajectory,
Computer vision for social good
BibRef
Ma, Y.C.J.[Ye-Cheng Jason],
Inala, J.P.[Jeevana Priya],
Jayaraman, D.[Dinesh],
Bastani, O.[Osbert],
Likelihood-Based Diverse Sampling for Trajectory Forecasting,
ICCV21(13259-13268)
IEEE DOI
2203
Codes, Design methodology, Predictive models, Benchmark testing,
Probabilistic logic, Linear programming,
Motion and tracking
BibRef
Liu, Z.G.[Zhen-Guang],
Su, P.X.[Peng-Xiang],
Wu, S.[Shuang],
Shen, X.J.[Xuan-Jing],
Chen, H.P.[Hai-Peng],
Hao, Y.B.[Yan-Bin],
Wang, M.[Meng],
Motion Prediction using Trajectory Cues,
ICCV21(13279-13288)
IEEE DOI
2203
Potential energy, Computational modeling, Benchmark testing, Fish,
Mathematical models, Mice, Motion and tracking, Vision applications and systems
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Unlimited Neighborhood Interaction for Heterogeneous Trajectory
Prediction,
ICCV21(13148-13157)
IEEE DOI
2203
Benchmark testing, Trajectory, Gaussian mixture model,
Action and behavior recognition, Motion and tracking,
Vision for robotics and autonomous vehicles
BibRef
Sun, J.H.[Jian-Hua],
Li, Y.X.[Yu-Xuan],
Fang, H.S.[Hao-Shu],
Lu, C.[Cewu],
Three Steps to Multimodal Trajectory Prediction:
Modality Clustering, Classification and Synthesis,
ICCV21(13230-13239)
IEEE DOI
2203
Pipelines, Predictive models, Benchmark testing, Trajectory,
Cultural differences, Task analysis, Motion and tracking,
Action and behavior recognition
BibRef
Girase, H.[Harshayu],
Gang, H.[Haiming],
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Choi, C.[Chiho],
LOKI: Long Term and Key Intentions for Trajectory Prediction,
ICCV21(9783-9792)
IEEE DOI
2203
Measurement, Computational modeling, Decision making, Estimation,
Predictive models, Cognition, Datasets and evaluation,
Vision for robotics and autonomous vehicles
BibRef
Chen, G.Y.[Guang-Yi],
Li, J.L.[Jun-Long],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Human Trajectory Prediction via Counterfactual Analysis,
ICCV21(9804-9813)
IEEE DOI
2203
Training, Computational modeling, Predictive models,
Benchmark testing, Trajectory, History, Motion and tracking,
BibRef
Li, S.J.[Shi-Jie],
Zhou, Y.Y.[Yan-Ying],
Yi, J.H.[Jin-Hui],
Gall, J.[Juergen],
Spatial-Temporal Consistency Network for Low-Latency Trajectory
Forecasting,
ICCV21(1920-1929)
IEEE DOI
2203
Navigation, Neural networks,
Predictive models, Trajectory, Mobile robots,
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Zhao, H.[He],
Wildes, R.P.[Richard P.],
Where are you heading? Dynamic Trajectory Prediction with Expert Goal
Examples,
ICCV21(7609-7618)
IEEE DOI
2203
Training, Technological innovation, Codes, Computational modeling,
Trajectory, Video analysis and understanding, Motion and tracking
BibRef
Gu, J.[Junru],
Sun, C.[Chen],
Zhao, H.[Hang],
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets,
ICCV21(15283-15292)
IEEE DOI
2203
Training, Roads, Heuristic algorithms, Computational modeling,
Predictive models, Benchmark testing,
BibRef
Chen, G.Y.[Guang-Yi],
Li, J.L.[Jun-Long],
Zhou, N.[Nuoxing],
Ren, L.L.[Liang-Liang],
Lu, J.W.[Ji-Wen],
Personalized Trajectory Prediction via Distribution Discrimination,
ICCV21(15560-15569)
IEEE DOI
2203
Measurement, Dynamics, Stochastic processes, Probability,
Predictive models, Trajectory,
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Freeman, I.[Ido],
Zhao, K.[Kun],
Kummert, A.[Anton],
Polynomial Trajectory Predictions for Improved Learning Performance,
ICIP21(3313-3317)
IEEE DOI
2201
Training, Roads, Image processing, Automotive applications,
Learning (artificial intelligence), Trajectory,
active safety
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Musallam, M.A.[Mohamed Adel],
del Castillo, M.O.[Miguel Ortiz],
Al Ismaeil, K.[Kassem],
Perez, M.D.[Marcos Damian],
Aouada, D.[Djamila],
Leveraging Temporal Information for 3D Trajectory Estimation of Space
Objects,
AOTW21(3809-3815)
IEEE DOI
2112
Space vehicles, Convolution, Neural networks, Estimation
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Kong, Q.[Qi],
Zhang, L.L.[Liang-Liang],
Xu, X.[Xin],
MITNet: Multi-intention Trajectory Network for Motion Prediction,
ICIVC21(388-392)
IEEE DOI
2112
Uncertainty, Computational modeling, Pipelines, Mobile agents,
Prediction methods, Trajectory, Proposals, motion prediction,
trajectory network
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Choi, C.[Chiho],
Choi, J.H.[Joon Hee],
Li, J.C.[Jia-Chen],
Malla, S.[Srikanth],
Shared Cross-Modal Trajectory Prediction for Autonomous Driving,
CVPR21(244-253)
IEEE DOI
2111
Training, Laser radar, Roads, Predictive models, Linear programming,
Feature extraction, Data models
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Pang, B.[Bo],
Zhao, T.Y.[Tian-Yang],
Xie, X.[Xu],
Wu, Y.N.[Ying Nian],
Trajectory Prediction with Latent Belief Energy-Based Model,
CVPR21(11809-11819)
IEEE DOI
2111
Predictive models, Benchmark testing,
Probabilistic logic, Cost function, Trajectory, Pattern recognition
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Bhattacharyya, A.[Apratim],
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Fritz, M.[Mario],
Schiele, B.[Bernt],
Haar Wavelet Based Block Autoregressive Flows for Trajectories,
GCPR20(275-288).
Springer DOI
2110
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Tran, H.[Hung],
Le, V.[Vuong],
Tran, T.[Truyen],
Goal-driven Long-Term Trajectory Prediction,
WACV21(796-805)
IEEE DOI
2106
Adaptation models, Visualization, Message passing, Semantics,
Neural networks, Predictive models, Feature extraction
BibRef
Wang, C.X.[Cheng-Xin],
Cai, S.F.[Shao-Feng],
Tan, G.[Gary],
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory
Prediction,
WACV21(3449-3458)
IEEE DOI
2106
Training, Computational modeling,
Predictive models, Benchmark testing, Trajectory
BibRef
Giuliari, F.[Francesco],
Hasan, I.[Irtiza],
Cristani, M.[Marco],
Galasso, F.[Fabio],
Trnasformer Networks for Trajectory Forecasting,
ICPR21(10335-10342)
IEEE DOI
2105
Image color analysis, Bit error rate, Switches, Predictive models,
Data models, Trajectory
BibRef
Ma, Y.F.[Yi-Fan],
Zhang, B.[Bo],
Conci, N.[Nicola],
Liu, H.B.[Hong-Bo],
A Hierarchical Framework for Motion Trajectory Forecasting Based on
Modality Sampling,
HCAU20(235-249).
Springer DOI
2103
BibRef
Biswas, A.[Arindam],
Morris, B.T.[Brendan Tran],
Tagcn: Topology-aware Graph Convolutional Network for Trajectory
Prediction,
ISVC20(I:542-553).
Springer DOI
2103
BibRef
Dendorfer, P.[Patrick],
Ošep, A.[Aljoša],
Leal-Taixé, L.[Laura],
Goal-GAN:
Multimodal Trajectory Prediction Based on Goal Position Estimation,
ACCV20(II:405-420).
Springer DOI
2103
BibRef
Lebailly, T.[Tim],
Kiciroglu, S.[Sena],
Salzmann, M.[Mathieu],
Fua, P.[Pascal],
Wang, W.[Wei],
Motion Prediction Using Temporal Inception Module,
ACCV20(II:651-665).
Springer DOI
2103
BibRef
Syed, A.[Arsal],
Morris, B.T.[Brendan Tran],
CNN, Segmentation or Semantic Embeddings:
Evaluating Scene Context for Trajectory Prediction,
ISVC20(II:706-717).
Springer DOI
2103
BibRef
Han, X.,
Armenakis, C.,
Jadidi, M.,
Dbscan Optimization for Improving Marine Trajectory Clustering and
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ISPRS20(B4:455-461).
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Salzmann, T.[Tim],
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Chakravarty, P.[Punarjay],
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Trajectron++: Dynamically-Feasible Trajectory Forecasting with
Heterogeneous Data,
ECCV20(XVIII:683-700).
Springer DOI
2012
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Liang, J.W.[Jun-Wei],
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Hauptmann, A.[Alexander],
SimAug: Learning Robust Representations from Simulation for Trajectory
Prediction,
ECCV20(XIII:275-292).
Springer DOI
2011
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Ma, Y.X.[Yue-Xin],
Zhu, X.G.[Xin-Ge],
Cheng, X.J.[Xin-Jing],
Yang, R.G.[Rui-Gang],
Liu, J.M.[Ji-Ming],
Manocha, D.[Dinesh],
Autotrajectory: Label-free Trajectory Extraction and Prediction from
Videos Using Dynamic Points,
ECCV20(XIII:646-662).
Springer DOI
2011
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He, J.W.[Jing-Wen],
Liu, Y.H.[Yi-Hao],
Qiao, Y.[Yu],
Park, S.H.[Seong Hyeon],
Lee, G.[Gyubok],
Seo, J.[Jimin],
Bhat, M.[Manoj],
Kang, M.[Minseok],
Francis, J.[Jonathan],
Jadhav, A.[Ashwin],
Liang, P.P.[Paul Pu],
Morency, L.P.[Louis-Philippe],
Diverse and Admissible Trajectory Forecasting Through Multimodal
Context Understanding,
ECCV20(XI:282-298).
Springer DOI
2011
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Sriram, N.N.,
Liu, B.[Buyu],
Pittaluga, F.[Francesco],
Chandraker, M.[Manmohan],
SMART: Simultaneous Multi-agent Recurrent Trajectory Prediction,
ECCV20(XXVII:463-479).
Springer DOI
2011
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Song, H.R.[Hao-Ran],
Ding, W.C.[Wen-Chao],
Chen, Y.X.[Yu-Xuan],
Shen, S.J.[Shao-Jie],
Wang, M.Y.[Michael Yu],
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PIP: Planning-informed Trajectory Prediction for Autonomous Driving,
ECCV20(XXI:598-614).
Springer DOI
2011
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Mangalam, K.[Karttikeya],
Girase, H.[Harshayu],
Agarwal, S.[Shreyas],
Lee, K.H.[Kuan-Hui],
Adeli, E.[Ehsan],
Malik, J.[Jitendra],
Gaidon, A.[Adrien],
It Is Not the Journey But the Destination:
Endpoint Conditioned Trajectory Prediction,
ECCV20(II:759-776).
Springer DOI
2011
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Shamsian, A.[Aviv],
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Globerson, A.[Amir],
Chechik, G.[Gal],
Learning Object Permanence from Video,
ECCV20(XVI: 35-50).
Springer DOI
2010
Reason about the location of non-visible objects: They continue to exist
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Zeng, K.,
Mottaghi, R.,
Weihs, L.,
Farhadi, A.,
Visual Reaction: Learning to Play Catch With Your Drone,
CVPR20(11570-11579)
IEEE DOI
2008
Visualization, Predictive models, Trajectory, Drones, Task analysis,
Mathematical model, Physics
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Graber, C.,
Schwing, A.,
Dynamic Neural Relational Inference for Forecasting Trajectories,
Precognition20(4383-4392)
IEEE DOI
2008
Decoding, Trajectory, Predictive models, Forecasting, History, Task analysis
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Liang, J.,
Jiang, L.,
Murphy, K.,
Yu, T.,
Hauptmann, A.,
The Garden of Forking Paths: Towards Multi-Future Trajectory
Prediction,
CVPR20(10505-10515)
IEEE DOI
2008
Trajectory, Predictive models, Decoding,
Benchmark testing
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Qi, M.,
Qin, J.,
Wu, Y.,
Yang, Y.,
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and
Imputation,
CVPR20(12733-12742)
IEEE DOI
2008
Trajectory, Predictive models, Task analysis, Forecasting, Decoding,
Training, TV
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Hu, Y.,
Chen, S.,
Zhang, Y.,
Gu, X.,
Collaborative Motion Prediction via Neural Motion Message Passing,
CVPR20(6318-6327)
IEEE DOI
2008
Trajectory, Message passing, Generators, Neural networks, Robots,
Predictive models, Surveillance
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Liang, M.,
Yang, B.,
Zeng, W.,
Chen, Y.,
Hu, R.,
Casas, S.,
Urtasun, R.,
PnPNet: End-to-End Perception and Prediction With Tracking in the
Loop,
CVPR20(11550-11559)
IEEE DOI
2008
Tracking, Trajectory, Forecasting, Feature extraction, Task analysis,
Predictive models
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Fang, L.,
Jiang, Q.,
Shi, J.,
Zhou, B.,
TPNet: Trajectory Proposal Network for Motion Prediction,
CVPR20(6796-6805)
IEEE DOI
2008
Proposals, Trajectory, Roads, Feature extraction,
Predictive models, Hidden Markov models
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Choi, C.,
Dariush, B.,
Looking to Relations for Future Trajectory Forecast,
ICCV19(921-930)
IEEE DOI
2004
data visualisation, feature extraction,
learning (artificial intelligence), motion estimation,
Navigation
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Thiede, L.,
Brahma, P.,
Analyzing the Variety Loss in the Context of Probabilistic Trajectory
Prediction,
ICCV19(9953-9962)
IEEE DOI
2004
mobile robots, path planning, probability, road vehicles,
traffic agents, autonomous driving, robot planning,
Probabilistic logic
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Nikhil, N.[Nishant],
Morris, B.T.[Brendan Tran],
Convolutional Neural Network for Trajectory Prediction,
AnticipateBeh18(III:186-196).
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1905
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Walker, J.[Jacob],
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Hebert, M.[Martial],
An Uncertain Future:
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ECCV16(VII: 835-851).
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1611
Predict dense field of pixel trajectories.
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Afonso, M.[Manya],
Nascimento, J.[Jacinto],
Predictive multiple motion fields for trajectory completion:
Application to surveillance systems,
ICIP15(2547-2551)
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1512
Video segmentation
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Li, C.[Ce],
Han, Z.J.[Zhen-Jun],
Ye, Q.X.[Qi-Xiang],
Gao, S.[Shan],
Pang, L.[Lijin],
Jiao, J.B.[Jian-Bin],
Locality-Constrained Sparse Reconstruction for Trajectory
Classification,
ICPR14(2602-2606)
IEEE DOI
1412
Decoding
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Akbarzadeh, V.[Vahab],
Gagne, C.[Christian],
Parizeau, M.[Marc],
Target Trajectory Prediction in PTZ Camera Networks,
CNWASA13(816-822)
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1309
Pan-Tilt-Zoom Camera Networks; Target Tracking
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Kyriazis, N.[Nikolaos],
Oikonomidis, I.[Iasonas],
Argyros, A.A.[Antonis A.],
Binding Computer Vision to Physics Based Simulation:
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BMVC11(xx-yy).
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Estimate trajectory from physics.
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Sun, J.[Jian],
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Bi-Directional Tracking Using Trajectory Segment Analysis,
ICCV05(I: 717-724).
IEEE DOI
0510
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Learning in Target Tracking Techniques, Motion Model .