Journal of Software:2009.20(9):2597-2606

(国防科学技术大学 电子科学与工程学院,湖南 长沙 410073;香港中文大学 机械自动化工程学系,香港)
Multi-Camera Collaboration Based on Trifocal Tensor Transfer
LIANG Hua,LIU Yun-Hui,CAI Xuan-Ping
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Received:September 15, 2008    Revised:January 20, 2009
> 中文摘要: 针对复杂遮挡环境下多摄像机协同的问题,提出一种基于三焦点张量点转移的多摄像机协同目标定位方法.该方法利用单摄像机视图中头部检测的结果进行对极匹配,然后利用虚拟顶视图和摄像机视图之间的三焦点张量关系进行点转移,确定行人在虚拟顶视图中的位置.该方法的优势在于:不需要标定摄像机参数,不需要假设物体在共同平面上运动,不存在利用对极关系进行点转移时出现的交点退化的问题.与传统方法的实验结果对比表明了该方法的有效性和准确性.
Abstract:This paper presents a head detection and trifocal tensor pointer transfer based multi-camera collaboration. In this approach, people’s head position is detected after background subtraction and tracked by Kalman and PDA. Trifocal tensor transfer is used to locate objects in the virtual top view by the corresponding head points in two camera views. Compared with existing approach, the approach doesn’t need camera calibration and coplanar precondition, nor does the deterioration of epipolar transfer exist. The experimental comparison between this approach and other traditional ones proves its effectiveness and accuracy.
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基金项目:Supported by the National Natural Science Foundation of China under Grant No.60675056 (国家自然科学基金) Supported by the National Natural Science Foundation of China under Grant No.60675056 (国家自然科学基金)
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LIANG Hua,LIU Yun-Hui,CAI Xuan-Ping.Multi-Camera Collaboration Based on Trifocal Tensor Transfer.Journal of Software,2009,20(9):2597-2606