Title :
Moving objects detection based on embedded video surveillance
Author :
Wu, Lushen ; Liu, Zhen ; Li, Yuwen
Author_Institution :
Sch. of Mechatron. Eng., Nanchang Univ., Nanchang, China
Abstract :
Requested by intelligentization of video surveillance system, the paper proposes a moving objects detection program based on Embedded video surveillance. With the help of the transaction of Servfox streaming media on ARM-Linux operation platform, the video collection and transmission of USB camera is achieved. The paper adopts the improved algorithm of the updated background model of inter-frame difference to obtain the moving objects in the client. The method reduces influence of moving objects to the background model. The experiment shows that the background image can be obtained accurately, and the moving objects recognition is achieved effectively.
Keywords :
Linux; microprocessor chips; object detection; object recognition; peripheral interfaces; video streaming; video surveillance; ARM-Linux operation platform; ARM920T; S3C2440 microprocessor; Servfox streaming media transaction; USB camera; embedded video surveillance system; inter-frame difference; moving objects detection program; moving objects recognition; updated background model; video collection; video transmission; Cameras; Linux; Object detection; Streaming media; Video sequences; Video surveillance; Embedded; Moving objects detection; Servfox; Video surveillance;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223453