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Self-organizing shape description for tracking and classifying multiple interacting objects

  • Published:2006-11 Issue:11 Volume:24 Page:1179-1191
  • ISSN:0262-8856
  • Container-title:Image and Vision Computing
  • language:en
  • Short-container-title:Image and Vision Computing

Author:

Marcenaro L.,Marchesotti L.,Regazzoni C.S.

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference44 articles.

1. Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions,2000

2. A System for Video Surveillance and Monitoring;Collins,1999

3. Introduction to the special section on video surveillance;Collins;IEEE Transactions on Pattern Analysis and Machine Intelligence,2000

4. Long Memory Matching Of Interacting Complex Objects From Real Image Sequences;Tesei,1996

5. Multiple camera tracking of interacting and occluded human motion;Dockstader;Proceedings of the IEEE,2001

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1. Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model;IEEE Transactions on Cybernetics;2021-08

2. Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos;IEEE Transactions on Intelligent Transportation Systems;2019-05

3. Online Nonparametric Bayesian Activity Mining and Analysis From Surveillance Video;IEEE Transactions on Image Processing;2016-05

4. Tracking Using Continuous Shape Model Learning in the Presence of Occlusion;EURASIP Journal on Advances in Signal Processing;2008-02-12

5. Tracking by using dynamic shape model learning in the presence of occlusion;2007 IEEE Conference on Advanced Video and Signal Based Surveillance;2007-09
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