基于动态特征的突发暴力事件辨识算法

在智能监控系统中，公共场所发生的暴力事件应及时预警，否则可能造成严重的后果。针对该情况，对暴力事件发生时图像中反映出来的信息进行了全面的提取，提出一种基于动态特征的能量算法。该算法从运动的剧烈程度、运动的不规则程度和目标间的位置关系3个角度较为全面地描述了该事件发生时图像的数字特征，并通过引入动能和势能总结出能量函数，用于辨识是否发生突发暴力事件。最后通过对大量包含各类事件的视频进行实验，并得出结论，该方法在处理突发暴力事件时有较高的识别率。

Sudden violence identification algorithm based on motion feature

In the intelligent monitoring system, violence behavior in public place should be warned in time; otherwise, it can lead to serious consequences. In this paper, the information of image was abstracted comprehensively when violence behavior happened, and an energy algorithm based on motion feature was proposed. The digital features of image from moving intensity, moving irregularity and location between targets when violence behavior happened were described, and the energy function using kinetic energy and potential energy was summarized to identify violence behavior. Finally, lots of videos that include all kinds of behaviors were used to carry out experiments and draw the conclusion that this method has a higher identification rate when handles sudden violence incident.