Title :
Accurate moving object detection in thermal imagery
Author :
Zhang, Yan ; Zhao, Ting ; Gu, Jian ; Yu, Shengyang
Author_Institution :
Minist. of Public Security Quality Supervision & Testing Center of Security Products for Comput. Inf. Syst., Third Res. Inst. of Minist. of Public Security, Shanghai, China
Abstract :
Accurate detection of moving object provides a fundamental capability that drives numerous high-level computer vision applications. In this paper, a novel algorithm is proposed to detect objects in widely varying thermal imagery. On the basis of properties of thermal imagery, effective foreground and background model are first presented, and then these models are competitively used in an unified MAP-MRF framework to detect objects. Experimental results on challenging dataset show the robustness and effectivity of the proposed algorithm.
Keywords :
computer vision; image motion analysis; infrared imaging; maximum likelihood estimation; object detection; fundamental capability; high-level computer vision applications; moving object detection; thermal imagery; unified MAP-MRF framework; Algorithm design and analysis; Estimation; Object detection; Pixel; Robustness; Subtraction techniques; Surveillance; MAP-MRF estimation; background subtraction; moving object detection; thermal imagery;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5952681
