JISE


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


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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