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프레임간의 운동방향을 고려한 tracking을 통해 동영상의 feature 추출
심승보(Seungbo Sim),최성후(Sunghoo Choi) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.10
These days, object recognition has been developed and used in many industrial area. To automate assembly line or identification of the slab numbers which are serial number written on iron, object recognition is very useful and efficient. However, object recognition is very sensitive to noise, illumination, scale and so on. Therefore, success of the object recognition depends on consideration of such external factors. It means that there is no absolute solution which makes an object recognition success in all cases. In industrial area. especially. it is very difficult to recognize something using image processing and video because environment of the industrial area is very poor. The most important thing that is needed to recognize an object using a camera is invariance of the environment and image quality. Most industrial area. nevertheless, few facilities are provided to enhance in variance of the illumination and image quality where the camera is installed. That is the reason why a new algorithm is needed to cope with the poor environment. Consequently this, paper presents a new algorithm which is little sensitive to environment using hams corner, codebook and histogram algorithm.
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