Design And Implementation Of Video Surveillance System Based On Embedded Linux

Linux and Embedded System are both hot points in the academic field of computer technology. The combination of them two further expands their respective development area. With the rapid development of the electronic technology, multimedia technology and network technology, video surveillance system is going to the embedded, digital, networked direction. Taking full advantage of LSI and networks of scientific and technological achievements, the embedded video surveillance system achieves delicate volume, stable performance, facilitates the communication of the surveillance equipment.The project is in arm microprocessor platform, and porting embedded Linux system in it. It completes video capturing, compression, transmission and control tasks. Based on the architecture and with the open source software in Linux, the whole embedded video surveillance system is implemented and tested.ARM9 (S3C2410) are the main processor in the system. using USB webcam as video capturing equipment, the video stream data are compressed with MPEG-4 standard by way of transplant project ffmpeg, so the remote monitoring is actualized. In addition, the moving object detecting which this paper presents is applied to the embedded video surveillance system. The surveillance system will give an alarm to user during short message when some object are coming into the field of view.This dissertation introduces the development and research status of the video surveillance system at first, then introduces the theory of the embedded video surveillance system. After that, it presents the hardware and software project of the embedded system based on the microprocessor S3C2410.It analyses carefully the technology of embedded Linux system involved the boot loader, Linux kernel, GUI and file system, and discusses how to drive the USB webcam in embedded Linux system. it designs and implements the software of the embedded video surveillance system including the video capturing, moving object detection and the real time video monitor module.