基于颜色直方图均衡化方法的均值偏移行人跟踪算法

2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS) Pub Date : 2017-03-01 DOI:10.1109/ISADS.2017.52

Limei Fu, Shuhao Yu, Yue Jia

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引用次数: 2

摘要

提出了一种利用监控摄像机采集的图像序列进行行人跟踪的改进算法。该行人跟踪算法基于均值移位算法，并利用颜色直方图均衡化对原算法进行改进。在某些情况下，改进算法的性能比原算法好得多。我们使用CAVIAR项目/IST 2001 37540数据集对算法进行了评估。

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A Pedestrian Tracking Algorithm Based on Mean Shift Using Color Histogram Equalization Method

This paper presents an improved pedestrian tracking algorithm with image sequences acquired by surveillance cameras. This pedestrian tracking algorithm is based on mean shift algorithm, and it uses color histogram equalization to improve the original algorithm. The improved algorithm performs much better than the original algorithm in some situations. We use the CAVIAR project/IST 2001 37540 dataset to evaluate the algorithm.

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来源期刊

2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)

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