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
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;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6958166
