彩色直方图均衡化的Mean Shift行人跟踪算法
Pedestrian Tracking Algorithm Using Color Histogram Equalization Mean Shift
视频监控中的行人跟踪是一个具有实际应用价值的研究领域。针对城市中智能视频监控中行人跟踪问题，提出了一种改进的基于彩色直方图均衡化的MeanShift行人跟踪算法，并通过监控摄像头获得图像序列。这种行人跟踪算法是基于均值移位算法，它使用颜色直方图均衡化来改进原始算法。通过使用CAVIAR project/IST 2001 37540数据集来进行试验，试验结果表明，改进后的算法在某些情况下比原算法表现得更好。
he pedestrian tracking in video monitoring is a research field with practical application value.An improved pedestrian tracking algorithm is proposed with image sequences acquired by surveillance cameras to solve the problem of pedestrian tracking in in smart video monitoring in city. This pedestrian tracking algorithm is based on mean shift algorithm, and it uses color histogram equalization to improve the original algorithm. CAVIAR project/IST 2001 37540 dataset is applied to evaluate the algorithm,Experimental results show that the algorithm performs much better than the original algorithm in some situations.
付丽梅
自动化技术、自动化技术设备计算技术、计算机技术
计算机图像处理mean shift行人跟踪直方图均衡化
computer image processingmeanshiftpedestrian trackinghistogram equalization
付丽梅.彩色直方图均衡化的Mean Shift行人跟踪算法[EB/OL].(2018-03-01)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/201803-2.点此复制
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