摘要
设计了一个基于FPGA的复杂静态背景下多移动目标实时检测系统。系统采用背景差分算法进行移动目标检测;采用中值滤波、像素漂移、腐蚀膨胀、Sobel边缘检测算法对差分结果进行处理。实验结果表明,在复杂静态背景下,系统可以精确地检测到视野内的移动目标,能够提取清晰的目标轮廓,并及时报警;通过多重去噪技术,基本将噪声滤除干净;系统处理速度快,能够满足智能视频监控系统实时性的要求。
A real-time detection system of moving objects in complicated static background based on FPGA was designed,and the system hardware platform and the software algorithm process were introduced.Background difference algorithm was used to detect moving objects.Median filtering and pixel shift algorithms were used to remove the noise.Erosion and dilation and Sobel edge detection algorithms were realized.Experiments show the system has clean background and detect the objects accurately and alarm in time.The processing speed can meet the needs of intelligent video surveillance system in real time.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2013年第S1期287-290,共4页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(60873089)
山东省教育科学规划课题重点基金项目(2008ZK0007)
山东省高等学校科技计划项目(J12LN19)
关键词
FPGA
嵌入式系统
智能视频监控
移动目标检测
背景差分
FPGA
embedded system
intelligent video surveillance
ioving objects detection
background difference
