PFCHA: A New Moving Object Tracking Algorithms Based on Particle Filter and Histogram

Abstract:

The complexity of the video background of moving target tracking algorithm led to the robustness of the important reasons is not high for the limitations of existing algorithms, a framework based on the movement of particle filter tracking algorithm. In order to reduce the impact of occlusion for the algorithm, the algorithm of moving objects make full use of color and motion characteristics of moving target detection, and to avoid the interference of the complex background, within the framework of particle filter in the object color histogram analysis. Finally, given an effective comparison of the calculation. Experimental results show that particle filter based target tracking algorithm can effectively remove the interference of the complex background, the context for any trace detection of high robustness.

• Periodical: Applied Mechanics and Materials (Volumes 110-116)
• Pages: 3343-3350
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.110-116.3343
• Online since: October 2011
• Authors: Qi Yang, Jia Fu Jiang
• Keywords: Color Histogram, Moving Object Tracking, Particle Filter (PF)

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