基于改进Camshift算法的运动目标实时跟踪方法

2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC) Pub Date : 2011-09-23 DOI:10.1109/MEC.2011.6025628

Yi-bo Li, Xiaoling Shen, Shanshan Bei

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引用次数: 11

摘要

Camshift的跟踪算法只适用于具有一定颜色的简单背景。本文提出了一种改进的Camshift算法。首先利用具有多分辨率分析和时频局部窗口分析特性的小波实现目标的精确定位，然后根据检测到的初始帧计算目标的质心坐标，并将计算结果作为改进Camshift算法的初始位置。然后将卡尔曼滤波算法与Camshift相结合，对运动目标的质心位置进行调整。实验结果表明，该算法能有效克服背景颜色的干扰，实现了复杂情况下的可靠目标跟踪。

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Real-time tracking method for moving target based on an improved Camshift algorithm

The tracking algorithm of Camshift is only used in simple background with certain color. In this paper, an improved Camshift algorithm is proposed. Firstly the precision localization of the target is realized by wavelet which has the characteristics of multi-resolution analysis and time-frequency local window analysis, then the coordinate of center-of-mass is calculated based on the detected initial frames, and the result is regarded as the initial position of the improved Camshift algorithm. Then the Kalman filter algorithm is combined with Camshift in order to adjust the center-of-mass position of moving target. Experiments results show that the algorithm can effectively overcome interference of the background color, and reliable target tracking in complex situation is realized.

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2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)

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