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http://dx.doi.org/10.3837/tiis.2010.06.010

Locally Initiating Line-Based Object Association in Large Scale Multiple Cameras Environment  

Cho, Shung-Han (Mobile Systems Design Laboratory, Dept. of Electrical and Computer Engineering, Stony Brook University-SUNY)
Nam, Yun-Young (Mobile Systems Design Laboratory, Dept. of Electrical and Computer Engineering, Stony Brook University-SUNY)
Hong, Sang-Jin (Mobile Systems Design Laboratory, Dept. of Electrical and Computer Engineering, Stony Brook University-SUNY)
Cho, We-Duke (Dept. of Electrical and Computer Engineering, Ajou University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.4, no.3, 2010 , pp. 358-379 More about this Journal
Abstract
Multiple object association is an important capability in visual surveillance system with multiple cameras. In this paper, we introduce locally initiating line-based object association with the parallel projection camera model, which can be applicable to the situation without the common (ground) plane. The parallel projection camera model supports the camera movement (i.e. panning, tilting and zooming) by using the simple table based compensation for non-ideal camera parameters. We propose the threshold distance based homographic line generation algorithm. This takes account of uncertain parameters such as transformation error, height uncertainty of objects and synchronization issue between cameras. Thus, the proposed algorithm associates multiple objects on demand in the surveillance system where the camera movement dynamically changes. We verify the proposed method with actual image frames. Finally, we discuss the strategy to improve the association performance by using the temporal and spatial redundancy.
Keywords
Multiple object association; parallel projection model; homographic line; multiple cameras;
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