Indexed by:
Abstract:
In order to realize multi-regions moving object detection in video surveillance, the shortage of traditional moving object detection algorithm is analyzed. Combining the background subtraction algorithm and frame difference algorithm, we propose a method which dynamically refresh the background. This algorithm can adapt with the background automatically, and reduce error detections caused by the change of background. We build a video surveillance system based on a FPGA chip, and implement the algorithm on the chip. The system can detect moving object in a 640 pixel×480 pixel, 30 frames/s video stream. The system also provides a function which detects moving object in independent regions. The number, size and location of the regions can be set easily by simple keystrokes. The system's configuration is convenient, and has strong flexibility. It can be utilized in various fields such as intelligent surveillance and production safety. © 2015, Science Press. All rights reserved.
Keyword:
Reprint 's Address:
Email:
Version:
Source :
Chinese Journal of Liquid Crystals and Displays
ISSN: 1007-2780
CN: 22-1259/O4
Year: 2015
Issue: 3
Volume: 30
Page: 484-491
0 . 7 0 0
JCR@2023
Cited Count:
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
Affiliated Colleges: