A Real-time Anomaly Intrusion and Theft Items Detecting System for Surveillance Videos

摘要：

This paper proposes an embedded surveillance system for real-time anomaly intrusion detection based on temporal difference algorithm and theft items detection based on accumulated background subtraction algorithm. This design of modified vision algorithm fully utilize the advanced parallelism of Field Programmable Gate Arrays (FPGA) and this hardware implementation realizes time-consumed difference computing with on-chip FIFO and RAM memory. Finally, we fuse these two anomaly detection algorithms in one FPGA and select the algorithm type by user needs. As a result, the detecting validity and robustness of this implementation have been demonstrated through real-time surveillance videos.

作者: Xiaofeng Lu Minxi Jin Songyu Yu Lina Wang Hengli Lu

作者单位: Shanghai Jiao Tong University;Shanghai University Shanghai University Shanghai Jiao Tong University,

会议类型: 国际会议

会议名称: 第十届中国虚拟现实年会

会议地点: 上海

会议语种:英文

页码: 1217-1221

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）