16.6.2.3.2 Target Tracking Techniques, Prediction, Trajectory Based

Chapter Contents (Back)
Motion Prediction. Motion Model. Prediction. Trajectory Analysis. Events:
See also Trajectory Analysis for Events, Actions. Anomalies:
See also Detecting Anomalies, Trajectory Analysis for Anomalies.

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 BibRef 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

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 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


Bhattacharyya, A.[Apratim], Straehle, C.N.[Christoph-Nikolas], Fritz, M.[Mario], Schiele, B.[Bernt],
Haar Wavelet Based Block Autoregressive Flows for Trajectories,
GCPR20(275-288).
Springer DOI 2110
BibRef

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 Anomaly Detection,
ISPRS20(B4:455-461).
DOI Link 2012
BibRef

Salzmann, T.[Tim], Ivanovic, B.[Boris], Chakravarty, P.[Punarjay], Pavone, M.[Marco],
Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data,
ECCV20(XVIII:683-700).
Springer DOI 2012
BibRef

Liang, J.W.[Jun-Wei], Jiang, L.[Lu], Hauptmann, A.[Alexander],
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction,
ECCV20(XIII:275-292).
Springer DOI 2011
BibRef

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
BibRef

He, J.W.[Jing-Wen], Liu, Y.[Yihao], 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
BibRef

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
BibRef

Song, H.[Haoran], Ding, W.C.[Wen-Chao], Chen, Y.X.[Yu-Xuan], Shen, S.J.[Shao-Jie], Wang, M.Y.[Michael Yu], Chen, Q.F.[Qi-Feng],
PIP: Planning-informed Trajectory Prediction for Autonomous Driving,
ECCV20(XXI:598-614).
Springer DOI 2011
BibRef

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
BibRef

Shamsian, A.[Aviv], Kleinfeld, O.[Ofri], 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 when they are occluded. BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

Styles, O., Guha, T., Sanchez, V.,
Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments,
WACV20(679-688)
IEEE DOI 2006
Trajectory, Forecasting, Feature extraction, Task analysis, Visualization, Urban areas, Meteorology BibRef

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 BibRef

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 BibRef

Nikhil, N.[Nishant], Morris, B.T.[Brendan Tran],
Convolutional Neural Network for Trajectory Prediction,
AnticipateBeh18(III:186-196).
Springer DOI 1905
BibRef

Walker, J.[Jacob], Doersch, C.[Carl], Gupta, A.[Abhinav], Hebert, M.[Martial],
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders,
ECCV16(VII: 835-851).
Springer DOI 1611
Predict dense field of pixel trajectories. BibRef

Afonso, M.[Manya], Nascimento, J.[Jacinto],
Predictive multiple motion fields for trajectory completion: Application to surveillance systems,
ICIP15(2547-2551)
IEEE DOI 1512
Video segmentation BibRef

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 BibRef

Akbarzadeh, V.[Vahab], Gagne, C.[Christian], Parizeau, M.[Marc],
Target Trajectory Prediction in PTZ Camera Networks,
CNWASA13(816-822)
IEEE DOI 1309
Pan-Tilt-Zoom Camera Networks; Target Tracking BibRef

Kyriazis, N.[Nikolaos], Oikonomidis, I.[Iasonas], Argyros, A.A.[Antonis A.],
Binding Computer Vision to Physics Based Simulation: The Case Study of a Bouncing Ball,
BMVC11(xx-yy).
HTML Version. 1110
Estimate trajectory from physics. BibRef

Sun, J.[Jian], Zhang, W.W.[Wei-Wei], Tang, X.[Xiaoou], Shum, H.Y.[Heung-Yeung],
Bi-Directional Tracking Using Trajectory Segment Analysis,
ICCV05(I: 717-724).
IEEE DOI 0510
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Learning in Target Tracking Techniques, Motion Model .


Last update:Oct 24, 2021 at 16:35:58