摘要
在视频监控系统中,针对人群打架暴乱等异常行为检测的问题,提出一种基于图像的纹理特征和光流特征的人群异动事件检测算法,利用灰度共生矩阵进行纹理特征的提取来计算人群密度,然后利用光流法表征运动方向信息,用熵表示运动的混乱程度。实验结果表明,本文提出的算法能较好地解决人群异常事件检测的问题。
Aiming at the problem of detecting the crowed abnormal event in the video surveillance system, this paper proposes an algorithm based on texture features and optional flow features, uses GLCM to compute the crowed density, then uses optical flow method to compute crowed motion vector. Experimental results show that the new algorithm can improve the performance of abnor- mally detection in crowed scences.
出处
《计算机与现代化》
2014年第3期114-118,共5页
Computer and Modernization
关键词
视频监控
算法
计算机视觉
video surveillance
algorithm
computer vision
