中圖分類號：TN60 文獻標志碼：A DOI: 10.16157/j.issn.0258-7998.257046 中文引用格式： 張威，許虎，尚志強. 基于時間注意力增強的電廠智能安防監控人體異常行為識別[J]. 電子技術應用，2026，52(4)：78-82. 英文引用格式： Zhang Wei，Xu Hu，Shang Zhiqiang. Recognition of abnormal human behavior in intelligent security monitoring of power plants based on time attention enhancement[J]. Application of Electronic Technique，2026，52(4)：78-82.
Recognition of abnormal human behavior in intelligent security monitoring of power plants based on time attention enhancement
Zhang Wei，Xu Hu，Shang Zhiqiang
Hebei International Zhangjiakou Thermal Power Co.，Ltd.
Abstract： The switching of strong light or the interweaving of shadows within the power plant area can affect the stability of feature points, causing the temporal information to break during the processing of high frame rate video streams. It is difficult to obtain the change direction of human feature points in continuous video frames, resulting in a relatively high average EER for behavior recognition. For this purpose, research on the recognition of abnormal human behaviors in intelligent security monitoring of power plants based on temporal attention enhancement has been carried out. The temporal attention enhancement module is introduced to enhance the short-distance and long-distance temporal features of surveillance videos. After fusion, a joint feature spanning multiple video segments is output to correlate the information of the segmented video frames. The distance-rotation angle representation method is used to calculate the change direction of human feature points in consecutive video frames, and abnormal behaviors are identified based on the direction relationship. On the test dataset, the design method outputs human feature information spanning multiple video segments. The AUC for its abnormal behavior recognition reached 0.92, and the mean EER was stable within 0.15, which was at a relatively low level.
Key words : time attention enhancement；security monitoring；abnormal human behavior；short distance temporal feature enhancement；long distance temporal feature enhancement；distance corner representation method；feature points
