Target detection and tracking in big surveillance video data

Abstract

The big video data information has become widely used in many application areas such as video monitoring. Moving object detection and tracking is one of the most important and difficult problems. This paper puts forward an improved background difference method for moving target area, realizes the motion detection and uses an improved centroid tracking method for target tracking. In our solution, the parallel processing mechanism and powerful computing capability of FPGA platform is applied to improve processing speed and performance of the system. Altera FPGA is chosen as the master control chip, and Qsys setup test system is involved. After multiple tests, the system processes size 320 × 240 RGB image at 30 frames per second, achieving the moving target monitoring and real-time tracking, and the accuracy is above 90 %. This design increases the reliability of the detection and tracking system on the basis of ensuring the running speed.