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Implementation of Motion Detection based on Extracting Reflected Light using 3-Successive Video Frames
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 Title & Authors
Implementation of Motion Detection based on Extracting Reflected Light using 3-Successive Video Frames
Kim, Chang Min; Lee, Kyu Woong;
Motion detection algorithms based on difference image are classified into background subtraction and previous frame subtraction. 1) Background subtraction is a convenient and effective method for detecting foreground objects in a stationary background. However in real world scenarios, especially outdoors, this restriction, (i.e., stationary background) often turns out to be impractical since the background may not be stable. 2) Previous frame subtraction is a simple technique for detecting motion in an image. The difference between two frames depends upon the amount of motion that occurs from one frame to the next. Both these straightforward methods fail when the object moves very "slightly and slowly". In order to efficiently deal with the problem, in this paper we present an algorithm for motion detection that incorporates "reflected light area" and "difference image". This reflected light area is generated during the frame production process. It processes multiplex difference image and AND-arithmetic of bitwise. This process incorporates the accuracy of background subtraction and environmental adaptability of previous frame subtraction and reduces noise generation. Also, the performance of the proposed method is demonstrated by the performance assessment of each method using Gait database sample of CASIA.
Motion Detection;Difference Image;light reflected area;image processing;
 Cited by
빛의 불규칙성을 기반으로 한 동작영역 검출 알고리즘,김창민;이규웅;

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