title: Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder.
abstract: During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as "frame difference" and "optical flow", may not able to deal with the problem very well. In such scenarios, we use a modified algorithm to do the background modeling work. In this paper, we use edge detection to get an edge difference image just to enhance the ability of resistance illumination variation. Then we use a "multi-block temporal-analyzing LBP (Local Binary Pattern)" algorithm to do the segmentation. In the end, a connected component is used to locate the object. We also produce a hardware platform, the core of which consists of the DSP (Digital Signal Processor) and FPGA (Field Programmable Gate Array) platforms and the high-precision intelligent holder.
authors: School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China. 2120140517@bit.edu.cn.
authors: Shuoyang
authors: S
authors: Chen
authors: School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China. ciom_xtf1@bit.edu.cn.|Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing 100081, China. ciom_xtf1@bit.edu.cn.
authors: Tingfa
authors: T
authors: Xu
authors: School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China. ldq_1221@163.com.
authors: Daqun
authors: D
authors: Li
authors: School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China. xiaomianzhou@126.com.
authors: Jizhou
authors: J
authors: Zhang
authors: School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China. jiangwenj02@163.com.
authors: Shenwang
authors: S
authors: Jiang
keywords: background modeling; intelligent visual surveillance; moving object detection