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首页> 外文会议>2011 International Conference on Mechatronic Science, Electric Engineering and Computer >Real-time tracking method for moving target based on an improved Camshift algorithm
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Real-time tracking method for moving target based on an improved Camshift algorithm

机译：基于改进Camshift算法的运动目标实时跟踪方法

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摘要

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.
机译：Camshift的跟踪算法仅在具有特定颜色的简单背景中使用。本文提出了一种改进的Camshift算法。首先利用小波实现目标的精确定位，该小波具有多分辨率分析和时频局部窗口分析的特征，然后根据检测到的初始帧计算质心坐标，得到的结果为被视为改进的Camshift算法的初始位置。然后，将卡尔曼滤波算法与Camshift相结合，以调整运动目标的质心位置。实验结果表明，该算法能有效克服背景色的干扰，实现了复杂情况下可靠的目标跟踪。

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