Title :
Improved video compression for indoor video surveillance application
Author :
Li, Qinghua ; Li, Aixing ; Yu, Fengqi
Author_Institution :
Dept. of Integrated Electron., Chinese Acad. of Sci., Shenzhen, China
Abstract :
This paper describes a new method to improve the compression ratio of H.264 when used in indoor video surveillance with static camera. Motion detection technique is introduced into H.264. The proposed motion detection algorithm consists of motion detection of successive frames and background frame subtraction. The motion detection of temporal frame is used in this system for detecting whether there are continuously moving objects between two consecutive frames. The background frame subtraction is used for detecting moving objects in current frame. Test results show that bit rate of video surveillance system can be reduced from 10% to 15% for the selected test sequences.
Keywords :
image sensors; image sequences; object detection; video coding; video surveillance; H.264 compression ratio; background frame subtraction; improved video compression; indoor video surveillance application; motion detection technique; static camera; test sequences; Bit rate; Decoding; Indoor environments; Layout; Motion detection; Recursive estimation; Streaming media; Video compression; Video on demand; Video surveillance; H.264 video compression; background frame subtraction; temporal frame motion detection;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487147