基于多阈值机制的动态人脸识别警务实战应用

Actual Combat Appilication for Police with Multi Threshold Based on Dynamic Facial Reconigtion

近年来,涉恐涉爆案件频发,为进一步加强对人流密集场所的安保,充分利用新兴的视频分析和人脸识别比对技术有针对性的开展安全防范工作,在目前人脸识别算法所能达到的识别高度前提下,可通过多阈值技术有效提高动态人脸识别情况下公安处警精确度。该方法能有效降低动态人脸识别系统在不同应用环境中的误报率和漏报率,提高动态人脸识别在公安的实战应用效果。

In recent years,there have been frequent cases of terrorist involvement,in order to further strengthen the security of crowded places.We should make full use of emerging video analysis and face recognition technology to carry out safety precautions against the premise that the face recognition algorithm can achieve high recognition accuracy.Can effectively improve the dynamic face recognition under the condition of public security alarm accuracy by multi threshold technique.This method can effectively reduce the false positive rate and false negative rate of dynamic face recognition system in different application environments,and improve the actual application effect of dynamic face recognition in public security.