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

Volume

3

fYear

2011

fDate

10-12 June 2011

Firstpage

282

Lastpage

286

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-8727-1

Type

conf

DOI

10.1109/CSAE.2011.5952681

Filename

5952681