Implementation of Real Time Moving Object Detection and Tracking on FPGA for Video Surveillance Applications

Computer vision has played a key role in developing object detection and tracking techniques for Surveillance system. Most of the implementations currently employed are based on Serial execution on General Purpose Processors. But the high cost and complexity of such implementations doesn't make it a viable option for real time surveillance system. The system proposed here is implemented on Field Programmable Gate Arrays (FPGA) Zynq XC7Z020 board using Modified Background Subtraction algorithm for real-time Object Detection and Tracking. The presence of numerous configurable logic blocks, distributed memory and hard Digital Signal Processing (DSP) modules offers a great flexibility in achieving Temporal and Spatial parallelism. This paper uses Xilinx ISE software for implementation which is programmed in VHDL. OV7670 camera used in the paper has a resolution of 0.3 Megapixel and it captures the video at a speed of 30fps. The reference frame and the subsequent incoming frames are stored in different memory modules before the Modified Background Subtraction algorithm is applied on these frames to obtain the difference image. After comparing it with the threshold, the resultant image is displayed and its addresses are stored in order to track it. The system works in real time with minimum time lag between the capture and display. Moreover the entire system is optimized in terms of speed, memory requirements as well as the number of logic elements used which makes it suitable for application in real-time surveillance system.