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Multi-target Tracking Based on Regional Correlation and Color Histogram Match

机译：基于区域相关性和颜色直方图匹配的多目标跟踪

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摘要

A method based on regional correlation and color histogram match was proposed for multi-target adaptive tracking. Firstly, target detection method was used to get the difference images. Then, the same target could be recognized according to the correlation of target regions of consecutive frames and the matching rate of color histogram. Finally, the active value, lifetime and dormancy value of targets were used to carry out long-time target tracking and deal with the problems of missing detection, false detection and target exit. The experiment shows that the method proposed in this paper has reached to a high accuracy rate of 95%, which has good robustness against the processing of missing detection, false detection and target exit.
机译：提出了一种基于区域相关和颜色直方图匹配的方法，用于多目标自适应跟踪。首先，使用目标检测方法来获得差异图像。然后，可以根据连续帧的目标区域的相关性和颜色直方图的匹配速率来识别相同的目标。最后，使用目标的主动值，寿命和休眠价值来执行长时间的目标跟踪，并处理缺失检测，假检测和目标出口的问题。实验表明，本文提出的方法已达到高精度率为95％，这具有良好的鲁棒性，可针对缺失检测，假检测和目标出口的处理。

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