计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
12期
176-180
,共5页
车速检测%运动目标检测%角点检测%特征匹配%运动估计%单视测量
車速檢測%運動目標檢測%角點檢測%特徵匹配%運動估計%單視測量
차속검측%운동목표검측%각점검측%특정필배%운동고계%단시측량
vehicle speed detection%moving object detection%corner detection%feature matching%motion estimation%single view metrology
针对传统特征匹配车速检测方法实时性较差的问题，提出一种改进的角点特征匹配车速检测方法。基于视频图像，采用混合高斯模型检测方法提取运动车辆目标，利用Harris算法检测车辆目标的角点特征，将运动估计和NCC匹配相结合，优化匹配区域搜索方法，对车辆目标角点进行角点粗匹配，再通过RANSAC算法进行角点精匹配和单视测量坐标转换以实现车速检测。实验结果表明，与传统方法相比，该方法的角点粗匹配速度提高400%，角点精匹配速度提高200%，车速准确性达到90%以上，能有效提高车速检测的实时性和准确性，满邾实际车速检测的要求。
針對傳統特徵匹配車速檢測方法實時性較差的問題，提齣一種改進的角點特徵匹配車速檢測方法。基于視頻圖像，採用混閤高斯模型檢測方法提取運動車輛目標，利用Harris算法檢測車輛目標的角點特徵，將運動估計和NCC匹配相結閤，優化匹配區域搜索方法，對車輛目標角點進行角點粗匹配，再通過RANSAC算法進行角點精匹配和單視測量坐標轉換以實現車速檢測。實驗結果錶明，與傳統方法相比，該方法的角點粗匹配速度提高400%，角點精匹配速度提高200%，車速準確性達到90%以上，能有效提高車速檢測的實時性和準確性，滿邾實際車速檢測的要求。
침대전통특정필배차속검측방법실시성교차적문제，제출일충개진적각점특정필배차속검측방법。기우시빈도상，채용혼합고사모형검측방법제취운동차량목표，이용Harris산법검측차량목표적각점특정，장운동고계화NCC필배상결합，우화필배구역수색방법，대차량목표각점진행각점조필배，재통과RANSAC산법진행각점정필배화단시측량좌표전환이실현차속검측。실험결과표명，여전통방법상비，해방법적각점조필배속도제고400%，각점정필배속도제고200%，차속준학성체도90%이상，능유효제고차속검측적실시성화준학성，만주실제차속검측적요구。
In order to improve the real-time performance of traditional feature matching vehicle speed detection, this paper presents an improving Harris corner matching method. Based on video, it uses moving object detection and Harris corner detection, combines motion estimation and NCC template matching, optimizes matching area search strategy for corner coarse matching, then uses random sample consensus for corner fine matching and single view metrology coordinate transformation, and finally achieves vehicle speed measurement. Experimental results show that, compared with the traditional method, corner coarse matching speed is increased by four hundred percent, corner fine matching speed is increased by two hundred percent, the vehicle speed accuracy reaches more than ninety percent, and the new method successfully improved the real-time of the algorithm and the accuracy of corner matching.
