16.6.2.3.1 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


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

Zhou, Y., Tang, D., Zhou, H., Xiang, X., Hu, T.,
Vision-Based Online Localization and Trajectory Smoothing for Fixed-Wing UAV Tracking a Moving Target,
VisDrone19(153-160)
IEEE DOI 2004
autonomous aerial vehicles, Kalman filters, mobile robots, robot vision, target tracking, trajectory smoothing 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 19, 2020 at 15:02:28