关键词: 现场可编程门阵列, 视频监控, 移动目标检测, 背景差分法, 灰度漂移, 信息融合

Abstract: A video detection system of moving objects based on FPGA is designed，of which the foundation is background difference algorithm.Two novel techniques are introduced：Gray level shift and information fusion of multiple color space.Gray level shift is a newly proposed algorithm by the group recently when studying Gaussian mixture model，which means the shift of pixel gray level to adjacent pixels and often exhibits in the form of noise.Gray level shift can eliminate most of noise resulting from micro seism and air disturbance，et al in background difference algorithm.Information fusion of multiple color space is an effective approach to determine and track the moving objects by making use of some complementary components of several color spaces.These two techniques are implemented by FPGA，and satisfactory results are achieved in real time detection and tracking，which will play important role in enhancing the practical embedded video surveillance system.

Key words: Field Programmable Gate Array（FPGA）, video surveillance system, moving object detection, background differencing algorithm, gray level shift, information fusion