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Pedestrian Detection and Tracking Technology of Vehicle Infrared Image
Author: SuXiaoZuo
Tutor: SunShaoZuo
School: Donghua University
Course: Control Theory and Control Engineering
Keywords: Car Infrared Target tracking Vehicle driver assistance Pedestrian recognition Pedestrian Detection
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 67
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Abstract
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Car infrared technology , more and more attention as new applications of infrared technology in the field of vehicle and vehicle driver assistance systems can assist the driver to better recognize the surrounding environment , to improve traffic safety . This paper studies the vehicle infrared technology in vehicle driver assistance systems , respectively, from the car infrared image of pedestrian detection , recognition and tracking technology research . The first infrared image pre-processing , median filtering methods to effectively filter out the noise . Use histogram equalization method to enhance the image contrast , and lay a solid foundation for the subsequent detection , recognition and tracking link . Followed by the use of pedestrian detection threshold of three difference method . Contrast, the first two methods , the lack of a threshold method more effective three difference method to improve , according to the object of this paper , three difference method based on improved before three differential regional estimated compensate . This method detected the target image , the more complete , richer detail , and to adapt to a wider range of target contour closer to the goal itself . And pedestrian identification using a combination of methods based on the pedestrian shape feature and pedestrian movement characteristics ( pedestrian rate ) , the false alarm rate can be more effective identification results . Finally , in the pedestrian tracking stage , introduce the the HU moments invariance theory , HU moments based on the theory proposed pedestrian tracking method based on contour matching contour moments translational invariance , rotational invariance , scale invariance calculation , effective tracking of pedestrians .
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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