Improved optical flow algorithm of moving object detection

被引：0
|
作者：
Zhang, Yu [1 ]
Wang, Fenfen [1 ]
机构：
[1] ShenYang Univ, Shenyang, Lliaoning, Peoples R China
来源：
2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2015年
关键词：
Moving target detection; Optical flow; Differential; SEGMENTATION;
D O I：
10.1109/IMCCC.2015.48
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Moving target detection is one of the most active research topics in the field of computer vision, detection of moving targets correctly is one of the important yardstick to evaluate the performance of the vehicle collision avoidance warning system, optical flow algorithm is a common method for moving target detection. This article first introduces the basic concept and equation of optical flow, then briefly introduce the improved optical flow algorithm of moving target detection. In addition, in this paper we also introduce the double three image interpolation algorithm in the region and iterative reweighted least squares algorithm. The experimental results show that this algorithm has higher accuracy and efficiency for realtime collision detection.
引用
收藏
页码：196 / 199
页数：4
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