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Real-Time Object Detection System Based on Background Modeling in Infrared Images  

Park, Chang-Han (SIAT, SAMSUNG THALES Co., Ltd.)
Lee, Jae-Ik (SIAT, SAMSUNG THALES Co., Ltd.)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.46, no.4, 2009 , pp. 102-110 More about this Journal
Abstract
In this paper, we propose an object detection method for real-time in infrared (IR) images and PowerPC (PPC) and H/W design based on field programmable gate array (FPGA). An open H/W architecture has the advantages, such as easy transplantation of HW and S/W, support of compatibility and scalability for specification of current and previous versions, common module design using standardized design, and convenience of management and maintenance. Proposed background modeling for an open H/W architecture design decreases size of search area to construct a sparse block template of search area in IR images. We also apply to compensate for motion compensation when image moves in previous and current frames of IR sensor. Separation method of background and objects apply to adaptive values through time analysis of pixel intensity. Method of clutter reduction to appear near separated objects applies to median filter. Methods of background modeling, object detection, median filter, labeling, merge in the design embedded system execute in PFC processor. Based on experimental results, proposed method showed real-time object detection through global motion compensation and background modeling in the proposed embedded system.
Keywords
Embedded system; Open Architecture; Infrared Images; Background Modeling; Object Detection;
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