摘要
针对一般遗留物检测算法运算量大和难以适应遮挡情况的问题,提出了一种静止单摄像机条件下快速有效的遗留物检测算法。算法建立了两个基于累积均值更新法的背景模型,分别称之为纯背景模型和脏背景模型。通过两个背景的差别得到静止目标块,并对静止目标块进行跟踪,当静止目标停留超过设定的时间即判定其为遗留物并触发报警。由于算法避免了使用复杂度数学概率背景模型,大大减低了背景更新的计算复杂度,使算法能满足视频监控系统实时处理的要求。同时,算法在静止目标跟踪模块中增加了碰撞帧数计数使遮挡情况下的遗留物跟踪得到更好的效果。在PETS2006数据集提供的多个视频序列实验中,该算法显示了良好的性能。
Most abandoned object detection algorithms proposed are either computationally intensive or weak in tracking abandoned object with occlusion. For this, an abandoned objects detection method under static cameras is presented based on dual backgrounds, which are updated with different strategies and fi＇equencies. The background model is driven by accumulative average values instead of complex filters and hence it is simple and of lower computational cost. Besides, the algorithm is able to track abandoned objects under occlusion. Experimental results under the benchmark datasets on PET 2006 show that the proposed method has a good performance.
出处
《计算机系统应用》
2012年第8期201-205,共5页
Computer Systems & Applications
基金
广州市科技计划项目(2010Y1-C611)
关键词
视频智能监控
遗留物检测
双背景模型
遮挡跟踪
video surveillance
abandoned object detection
dual background models
tracking with occlusion
