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Journal of Information Science and Engineering, Vol. 24 No. 6, pp. 1719-1731 (November 2008)

Estimating Optical Flow by Integrating Multi-Frame Information

Chia-Ming Wang1, Kuo-Chin Fan1,2 and Cheng-Tzu Wang3
 1Institute of Computer Science and Information Engineering
National Central University
Chungli, 320 Taiwan
2Department of Informatics
Fo Guang University
Ilan, 262 Taiwan
3Institute of Computer Science
National Taipei University of Education
Taipei, 106 Taiwan

In this paper, we develop two methods for estimating optical flow across multiframes in an image sequence. The rationale of our proposed methods is based on integrating temporal information from the reference image and its previous and next several images. The difference between the two methods lies mainly on the modeling in utilizing multiple images. The proposed methods can be applied to each point independently, and hence is suitable for many image-based applications. Experiments were conducted on various image sequences and the results show that using multiple frames can indeed reduce the estimation error significantly, especially at those points that possess good features.

Keywords: multi-frame, optical flow estimation, gradient-based, first order approximation, constant motion model

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Received February 16, 2007; revised May 27, 2007; accepted August 13, 2007.
Communicated by Tong-Yee Lee.