Study and Application of Moving Vehicle Image Matching Methods

Yucheng Li, Yue Zhang, Y. Zhang
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Abstract

it proposes a SIFT-RANSAC algorithm for the object recognition of moving vehicles combining the SIFT image matching theory and RANSAC algorithm. The paper designs a detection system, the Intelligent Traffic Management, which is used to solve the difficulties, such as traffic lanes changes, large body sizes and mutual interference between vehicles and so on, in the previous frame and the update frame. The experiments demonstrate that the SIFT-RANSAC algorithm has better performance.
运动车辆图像匹配方法的研究与应用
结合SIFT图像匹配理论和RANSAC算法,提出了一种用于运动车辆目标识别的SIFT-RANSAC算法。本文设计了一种智能交通管理检测系统,用于解决前一帧和更新帧中存在的车道变化、车身尺寸大、车辆之间相互干扰等问题。实验表明,SIFT-RANSAC算法具有较好的性能。
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