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机构地区:[1]遵义师范学院物理与机电工程学院,贵州遵义563000 [2]华中科技大学计算机科学与技术学院,武汉430074
出 处:《光电工程》2013年第1期17-22,共6页Opto-Electronic Engineering
基 金:贵州省科技厅(黔科合J字[2012]2339号)
摘 要:鉴于现有的运动目标检测方法对光照变化的敏感性,本文提出了一种在静态场景下对光照变化鲁棒的运动目标检测方法。该方法利用视频当前图像帧的边缘与背景图像的边缘做差分运算,得出运动目标的轮廓,进而对运动目标进行定位与检测。实验证明,本方法在一定程度上能够消除由于环境光照变化引起的"曝光"现象,实时准确地检测出运动目标及其位置,运算速度快,满足实时性的需求。Object detection has been widely used in smart video surveillance system, and many algorithms have been developed. However, these algorithms are sensitive to illumination. In this paper, a robust method has been proposed, which is based on the difference the edge maps between the background image and the image at present in the video. The outline of moving objects is drawn, and then the moving targets are detected and localized. Experiments show that this method is robust to illumination, can detect moving object correctly and be easily adopted in fixed camera environment with real-time application.
分 类 号:TN929.1[电子电信—通信与信息系统]
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