使用图像处理检测包括人在内的物体

M. Takatoo, C. Onuma, Yoshiki Kobayashi
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引用次数: 10

摘要

我们研究了观察包括人在内的物体的方法。首先,我们使用一般图像处理器执行的定点操作澄清了指数平滑的局限性,然后我们提出了一种使用指数平滑和二值化图像积累来检测人群中遗留物体的方法。实验结果表明,左侧目标检测的识别率在90%以上。最后,提出了一种基于物体运动分析的可疑物体检测方法。我们通过实验阐明了所提出方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of objects including persons using image processing
We studied methods for observing objects including persons. First, we clarified the limit of exponential smoothing using fixed point operations executed by general image processors, then we proposed a method for detecting objects that are left in a crowd using exponential smoothing with accumulation of binarized images. The experimental results of left objects detection had a higher than 90% recognition rate. Finally, we proposed a doubtful objects detection method by analyzing objects movements. We clarified the suitability of the proposed method by experiments.
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