Title :
Study on forest fires recognition and moving target tracking in video surveillance system
Author :
Xiao-Yun Xiong ; Bing Wang
Author_Institution :
Sch. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
Abstract :
The forest fires are caused by extremely complex natural factors and human factors. How to convert from passive prevention taxed a lot of manpower and material resources into the active management model with automatic monitoring and alarming, it has been a technical problem for forest fires department. In digital video surveillance system, we used image recognition technology to track suspicious moving target and alarm in period of forest fire prevention, to recognize forest fire and alarm in period of forest fire monitoring. We selected two places and do some test in Laoshan forest fire video surveillance system for testing, the result of test is satisfied. It can be generally used in the analogous system for preventing disaster.
Keywords :
image recognition; target tracking; video surveillance; Laoshan forest fire video surveillance system; active management model; analogous system; automatic alarming; automatic monitoring; disaster prevention; extremely complex natural factors; forest fire prevention; forest fires recognition; human factors; image recognition technology; manpower resources; material resources; moving target tracking; passive prevention; Fires; Head; Humans; Image recognition; Monitoring; Skin; Target tracking; Forest Fires; Moving Target Tracking; PTZ; Recognition;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023697
