摘要
基于颜色直方图的人体跟踪是最为常用的跟踪方法。但是在人数较多的场景下,仅靠颜色直方图难以准确描述目标特征。对此,提出一种基于色块边缘统计和颜色直方图的多目标实时跟踪算法,利用色块边缘分布和颜色特征对目标进行匹配,通过卡尔曼滤波确定搜索范围,并对跟踪过程进行并行化处理。实验结果表明,该算法可以有效地提高多目标跟踪的准确率和鲁棒性。
Human tracking based on the color histogram is one of the most popular tracking methods. However, it is hard to accurately describe the target signature in bigger number of people scene if it solely depends on the color histogram. Therefore, we propose a muhi-target real-time tracking algorithm based on the color edge statistics and the color histogram. Furthermore, this algorithm can deal with the tracking process, match the target by the color edge distribution and the color characteristics, and confirm the scope of target searching. The experimental results show that the algorithm can effectively improve the multi-target tracking accuracy and robustness.
出处
《计算机与现代化》
2016年第2期24-27,共4页
Computer and Modernization
