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Iterative Division and Correlograms for Detection and Tracking of Moving Objects

机译:用于运动物体检测和跟踪的迭代除法和相关图

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摘要

This paper presents an algorithm for the detection and tracking of moving objects based on color and texture analysis for real time processing. Our goal is to study human interaction by tracking people and objects. The object detection algorithm is based on color histograms and iteratively divided interest regions for motion detection. The tracking algorithm is based on correlograms which combines spectral and spatial information to match detected objects in consecutive frames.
机译:本文提出了一种基于颜色和纹理分析的运动物体检测和跟踪算法,用于实时处理。我们的目标是通过跟踪人和物体来研究人与人之间的互动。对象检测算法基于颜色直方图和迭代划分的兴趣区域进行运动检测。跟踪算法基于相关图,该相关图结合了光谱和空间信息以匹配连续帧中检测到的对象。

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