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1. 福州大学 物理与信息工程学院, 福建 福州 350116
2. 福州大学 微纳器件与太阳能电池研究所,福建 福州,350116
收稿日期:2014-06-20,
修回日期:2014-07-21,
纸质出版日期:2015-06-05
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林培杰, 郑柏春, 陈志聪, 吴丽君, 程树英. 面向多区域视频监控的运动目标检测系统[J]. 液晶与显示, 2015,30(3): 484-491
LIN Pei-jie, ZHENG Bo-chun, CHEN Zhi-cong, WU Li-jun, CHENG Shu-ying. System of multi-regions moving object detection in video surveillance[J]. , 2015,30(3): 484-491
林培杰, 郑柏春, 陈志聪, 吴丽君, 程树英. 面向多区域视频监控的运动目标检测系统[J]. 液晶与显示, 2015,30(3): 484-491 DOI: 10.3788/YJYXS20153003.0484.
LIN Pei-jie, ZHENG Bo-chun, CHEN Zhi-cong, WU Li-jun, CHENG Shu-ying. System of multi-regions moving object detection in video surveillance[J]. , 2015,30(3): 484-491 DOI: 10.3788/YJYXS20153003.0484.
为了实现视频监控现场多区域运动目标检测
分析了传统运动检测算法的不足
结合帧间差分法和背景差分法
提出背景动态更新的运动检测算法.该算法能自适应背景的变化
减少由背景变化造成的误检测.构建基于FPGA的视频监控系统
在FPGA上用该算法实现了640 pixel480 pixel
30帧/s视频信号流的运动目标实时检测.系统提供了分区域运动目标检测的功能.检测区域的大小、位置和个数可通过简单的按键操作进行设定.测试结果表明
系统可以实时地对进入划定区域的运动目标进行检测和闪烁告警
且资源占用较少
适合在小规模的FPGA上进行实现.
In order to realize multi-regions moving object detection in video surveillance
the shortage of traditional moving object detection algorithm is analyzed. Combining the background subtraction algorithm and frame difference algorithm
we propose a method which dynamically refresh the background. This algorithm can adapt with the background automatically
and reduce error detections caused by the change of background. We build a video surveillance system based on a FPGA chip
and implement the algorithm on the chip. The system can detect moving object in a 640 pixel480 pixel
30 frames/s video stream. The system also provides a function which detects moving object in independent regions. The number
size and location of the regions can be set easily by simple keystrokes. The system's configuration is convenient
and has strong flexibility. It can be utilized in various fields such as intelligent surveillance and production safety.
郭永彩,苏渝维,高潮. 基于FPGA的红外图像实时采集系统设计与实现[J]. 仪器仪表学报,2011,32(3):515-519. Guo Y C, Su Y W, Gao C. Design and implementation of real time infrared image collection system based on FPGA[J]. Chinese Journal of Scientific Instrument, 2011, 32(3): 515-519.(in chinese)[2] Tomasz K, Marek G. Real-time implementation of moving object detection in video surveillance systems using FPGA [J]. Computer Science, 2011, 12(1): 149-162.[3] 周建英,吴小培,张超. 基于滑动窗的混合高斯模型运动目标检测方法[J]. 电子与信息学报,2013,35(7):1650-1655. Zhou J Y, Wu X P, Zhang C, et al. A moving object detection method based on sliding window gaussian mixture model[J]. Journal of Electronics & Information Technology, 2013,35(7):1650-1656. (in chinese)[4] 祝利勇. 基于FPGA的视频运动目标检测系统[D].西安:西安电子科技大学,2007. Zhu L Y. A video moving object detection system based on FPGA[D]. Xian: Xidian University, 2007.[5] Lipton A J, Fujiyoshi H. Patil R S. Moving target classification and tracking from real-time video [J]. IEEE Workshop Application of Computer Vision, 1998, 17(9): 8-14.[6] Barron J L, Fleet D J, Beauchemin S S. Performance of optical flow techniques[J]. International J. Computer Vision, 1994, 12(1): 42-77.[7] Jain R. Difference and accumulative difference pictures in dynamic sceneanalysis[J].Image and Vision Computing, 1984, 2(2): 99-108.[8] 吴君钦,刘昊,罗勇. 静态背景下的运动目标检测算法[J]. 液晶与显示,2012,27(5):682-686. Wu J Q, Liu H, Luo Y. Algorithm of moving object detection in static background[J]. Chinese Journal of Liquid Crystals and Displays, 2012,27(5):682-686.(in chinese)[9] 刘翔,周桢. 基于分块背景建模的运动目标检测技术[J]. 液晶与显示, 2011, 26(6):831-835. Liu X, Zhou Z. Moving objectives detecting technology based on block processing of background model establishment[J]. Chinese Journal of Liquid Crystals and Displays, 2011, 26(6):831-835.(in chinese)[10] Hoang V, Pham C. Efficient LUT-based truncated multiplier and its application in RGB to YCbCr Color space conversion[J]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2012,95(6):999-1006.[11] 郑争兵. 基于FPGA的VGA波形显示系统设计与实现[J]. 液晶与显示, 2014,29(1):88-93. Zheng Z B. Design and implementation of VGA waveform display system based on FPGA[J]. Chinese Journal of Liquid Crystals and Displays, 2014,29(1):88-93.(in chinese)
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