Bayesian Modality Fusion for Tracking Multiple People with a Multi-Camera System-Reference-Cited by-同舟云学术

Bayesian Modality Fusion for Tracking Multiple People with a Multi-Camera System

Published:2002 Issue: Volume: Page:79-87
ISSN:
Container-title:Video-Based Surveillance Systems
language:
Short-container-title:

Author:

Chang Ting-Hsun,Gong Shaogang

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4615-0913-4_6.pdf

Reference9 articles.

1. R. Rosales and S. Sclaroff. (1998). Improved Tracking of Multiple Humans with Trajectory Prediction and Occlusion Modeling. IEEE International Conference on Computer Vision and Pattern Recognition.

2. S. Khan and M. Shah. (2000). Tracking People in Presence of Occlusion. Asian Conference on Computer Vision.

3. I. Haritaoglu, D. Harwood and L. Davis. (1998). W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People. IEEE International Conference on Automatic Face and Gesture Recognition.

4. CMU-RI-TR-00–12;A Lipton,2000

5. T. H. Chang, S. Gong and E. J. Ong. (2000). Tracking Multiple People Under Occlusion Using Multiple Cameras. British Machine Vision Conference.

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Particle Filter-Based Object Tracking and Handover in Disjoint View Multi-Cameras;Advances in Intelligent Systems and Computing;2013-09-22

2. What Epipolar Geometry Can Do for Video-Surveillance;Image Analysis and Processing – ICIAP 2013;2013

3. A Fast Method for Tracking People with Multiple Cameras;Trends and Topics in Computer Vision;2012

4. Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras;Computer Vision and Image Understanding;2010-02

5. Dynamic Camera Assignment and Handoff;Intelligent Video Surveillance;2009-12-16