Tracking Multiple Variable-Sizes Moving Objects in LFR Videos Using a Novel genetic Algorithm Approach

Author:

Shayegh Boroujeni Hamidreza,Moghadam Charkari Nasrollah,Behrouzifar Mohammad,Taheri Makhsoos Poonia

Publisher

Springer Berlin Heidelberg

Reference28 articles.

1. Li, Y., Ai, H., Yamashita, T., Lao, S., Kawade, M.: Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(10), 1728–1740 (2008)

2. Konrad, J.: Motion detection and estimation. In: Image and Video Processing Handbook, ch. 3.8. Academic Press (2000)

3. Rodríguez, P.: Monitoring of Induced Motions in a Shake Table Test via Optical Motion Tracking: Preliminary Results. In: Ibero American Conference on Trends in Engineering Education and Collaboration, October 27 - 28 (2009)

4. Zhang, T., Fei, S., Lu, H., Li, X.: Modified Particle Filter for Object Tracking in Low Frame Rate Video. In: Proc. 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, P.R. China, December 16-18 (2009)

5. Li, Z., Chen, J., Schraudolph, N.N.: An Improved Mean-Shift Tracker with Kernel Prediction and Scale Optimization Targeting for Low-Frame-Rate Video Tracking. In: Proceeding of the 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, USA, December 8-11 (2008)

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