DocumentCode
154960
Title
Research on abandoned and removed objects detection based on embedded system
Author
Bin Hu ; Yiyue Li ; Zizhang Chen ; Gang Xiong ; Fenghua Zhu
Author_Institution
Cloud Comput. Center, Dongguan, China
fYear
2014
fDate
8-11 Oct. 2014
Firstpage
2968
Lastpage
2971
Abstract
This paper presents a real-time detection algorithm which detects abandoned objects in embedded Intelligent Video Surveillance (IVS) System. This algorithm uses two different Gaussian mixture models (GMM) with different learning rates to extract the foreground in order to detect the abandoned objects and output alarms. Experimental results show the algorithm is robust and well-performed in different circumstances.
Keywords
Gaussian processes; embedded systems; mixture models; object detection; video surveillance; GMM; Gaussian mixture models; IVS system; abandoned object; embedded intelligent video surveillance system; embedded system; learning rate; objects detection; real-time detection algorithm; Conferences; Intelligent transportation systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ITSC.2014.6958166
Filename
6958166
Link To Document