Optimised Particle Filter Approaches to Object Tracking in Video Sequences-Reference-Cited by-同舟云学术

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Optimised Particle Filter Approaches to Object Tracking in Video Sequences

Published:2009 Issue: Volume: Page:486-495
ISSN:0302-9743
Container-title:Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy
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Author:

Loza Artur,Wang Fanglin,Patricio Miguel A.,García Jesús,Molina José M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-02264-7_50

Reference18 articles.

1. Pérez, P., Vermaak, J., Blake, A.: Data fusion for tracking with particles. Proceedings of the IEEE 92(3), 495–513 (2004)

2. Hampapur, A., Brown, L., Connell, J., Ekin, A., Haas, N., Lu, M., Merkl, H., Pankanti, S.: Smart video surveillance: Exploring the concept of multiscale spatiotemporal tracking. IEEE Signal Processing Magazine 22(2), 38–51 (2005)

3. Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Comput. Surv. 38(4) (2006)

4. Shearer, K., Wong, K.D., Venkatesh, S.: Combining multiple tracking algorithms for improved general performance. Pattern Recognition 34(6), 1257–1269 (2001)

5. Maggio, E., Cavallaro, A.: Hybrid particle filter and mean shift tracker with adaptive transition model. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings (ICASSP 2005), vol. 2, pp. 221–224 (2005)

Cited by 1 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. Unifying Registration Based Tracking: A Case Study with Structural Similarity;2017 IEEE Winter Conference on Applications of Computer Vision (WACV);2017-03

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