关键词: 目标跟踪, 粒子滤波, 均值漂移, 核函数, HSV

Abstract: The proposed method embeds mean-shift into the tracking frame of the particle filter algorithm.The authors regard color distribution as the observation model.The components of HSV color space are divided into unequal intervals according to human color perception.Then we use the color histograms based on kernel function to build the model.The algorithm overcomes the default of both particle filter and mean-shift.The former has large computation cost.The latter can easily trapped into local maximum and can not recover from the error.Experimental results show that the proposed algorithm has real-time property and robustness.

Key words: object tracking, particle filter, mean-shift, kernel function, HSV