基于实例的多色动态图像中行人位置估计算法

2006 International Symposium on Intelligent Signal Processing and Communications Pub Date : 2006-12-01 DOI:10.1109/ISPACS.2006.364712

Yutaka Hatakeyama, Akimichi Mitsutat, Kaoru Hirota

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引用次数: 0

摘要

针对实际监控系统，提出了基于低照度彩色动态图像颜色实例的行人位置估计算法，所提出的颜色实例由色差、运动可能性区域和使用时间序列数据的边缘区域的先前检测对象组成。它提供了有用的检测结果过低的照明情况。对街道低照度动态图像的实验结果表明，与不使用彩色实例的检测结果相比，使用该算法检测到的帧数增加了20%。该算法正在考虑在日本治安相对较差的市中心地区使用。

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Instance-based location estimation algorithm for a pedestrian in multiple color dynamic images

Location estimation algorithm for a pedestrian is proposed for the real surveillance system based on color instances with color dynamic images under low illumination, where the proposed color instances consist of color-difference, moving possibility region, and previous detection objects in edge region using time series data. It provides useful detection result for too low illuminated situation. Experimental results for dynamic image taken under low illumination in streets show that detected frames with the proposed algorithm increase by 20% compared with detection result without color instances. The proposed algorithm is under consideration for use in a relatively poor security downtown area in Japan.

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2006 International Symposium on Intelligent Signal Processing and Communications

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