传统安防视频监控系统数据存储空间非常巨大, 人工查找异常事件或行为等有效的视频信息困难, 产生了应用视频智能监控技术来实现更高效的自动监控并配以报警功能, 对视频序列中的运动目标进行检测, 实现检测区域的人数统计, 使事后取证的被动防守变为主动防御报警的需求.在综合运用数字图像处理理论、目标跟踪算法等的基础上, 构建了一个人物分割与人群跟踪相结合的人物计数系统.以基于背景差分算法与帧间差分算法相结合的方式, 建立视频目标分割算法, 包括对目标进行检测并粗略分割, 分单人和多人计数.实现对视频图像的保存读取, 前景单人与群体的提取和分割.该方法确能为智能监控的实现提供一种可行的路径.%Due to large data storage space and difficult finding of valid video information manually such as abnormal events or activities for traditional security video monitoring system, the requirements applying intelligent monitoring technology to achieve more efficient automatic monitoring with alarm function, detection of moving targets in video sequence to realize the number statistics of people in the detection area, which makes the passive defense after the forensics into active defense alarm, are produced.Based on the digital image processing theory and target tracking algorithm, we construct a figure counting system in combination with character segmentation and crowd tracking.A video object segmentation algorithm is established on the basis of combining background difference algorithm and inter-frame difference algorithm, including detection and rough segmentation of object, single person counting and multi-person counting.The saving and reading of video images, and the extraction and segmentation of foreground single and group, are implemented.This method can provide a feasible path for the implementation of intelligent monitoring.
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