关键词: 目标跟踪, 粒子群优化算法, 分块, Uniform LBP特征

Abstract: A novel tracking method based on PSO（Particle Swarm Optimization） algorithm and Uniform LBP（Local Binary Pattern） feature is proposed for robust fragment tracking using exhaustive search strategy, sensitive to light and other issues. On the basis of the robust fragment tracking method using gray integral histogram as a feature, add the Uniform LBP feature descriptor, which has computational efficiency and is invariant to illumination. PSO algorithm is applied to the search for candidate target, because of its high accuracy, and fast convergence characteristics. Compared to robust fragment tracking, experimental results show that the proposed tracking method has satisfactory tracking precision and good real-time performance in complex backgrounds with illumination variations and completely occlusions.

Key words: target tracking, Particle Swarm Optimization（PSO）, fragment, Uniform Local Binary Pattern