Real time object tracking commonly suffers from various real life problems like varying pose,occlusion and *** this paper,the illumination problem is handled that highly influences the quality of people *** main focus...
详细信息
Real time object tracking commonly suffers from various real life problems like varying pose,occlusion and *** this paper,the illumination problem is handled that highly influences the quality of people *** main focus is to eliminate the lighting effect and increase the success ratio in *** proposed system removes the noise from single-scale retinex（SSR） image via linear smoothing filter which in fact segregates the actual features from illumination *** addition,we extend processed images with original histogram of oriented gradients（HOG） based detector and local binary patterns（LBP） for training to classify the negative and positive ***,we utilized support vector machine（SVM） for classification *** results show that the proposed method have more accuracy as compared to original HOG+SVM method.
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