DocumentCode :
3745403
Title :
Improved Optical Flow Algorithm of Moving Object Detection
Author :
Yu Zhang;Fenfen Wang
Author_Institution :
ShenYang Univ., Shenyang, China
fYear :
2015
Firstpage :
196
Lastpage :
199
Abstract :
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 real time collision detection.
Keywords :
"Computer vision","Image motion analysis","Optical imaging","Adaptive optics","Object detection","Algorithm design and analysis","Cameras"
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
Type :
conf
DOI :
10.1109/IMCCC.2015.48
Filename :
7405827
Link To Document :
بازگشت