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IEICE Transactions on Information and Systems 2008 E91-D(2):234-242; doi:10.1093/ietisy/e91-d.2.234
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Copyright © 2008 The Institute of Electronics, Information and Communication Engineers

Regular Section -- Papers -- Computation and Computational Models

Detection of Displacement Vectors through Edge Segment Detection

Haiyang YU1 and Seizaburo NIITSUMA2

1 The author is with the the Graduate School of Electronic Science and Technology, Shizuoka University, Hamamatsu-shi, 432–8561 Japan. E-mail: n2341009{at}ipc.shizuoka.ac.jp, 2 The author is with the Department of System Engineering, Faculty of Engineering, Shizuoka University, Hamamatsu-shi, 432–8561 Japan. E-mail: sei{at}sys.eng.shizuoka.ac.jp

The research on displacement vector detection has gained increasing attention in recent years. However, no relationship between displacement vectors and the outlines of objects in motion has been established. We describe a new method of detecting displacement vectors through edge segment detection by emphasizing the correlation between displacement vectors and their outlines. Specifically, after detecting an edge segment, the direction of motion of the edge segment can be inferred through the variation in the values of the Laplacian-Gaussian filter at the position near the edge segment before and after the motion. Then, by observing the degrees of displacement before and after the motion, the displacement vector can be calculated. The accuracy compared to other methods of displacement vector detection demonstrates the feasibility of this method.

Key Words: displacement vector, edge detection, edgesegment detection, edge cell, chain algorithm


Manuscript received April 25, 2007. Manuscript revised September 26, 2007.

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This Article
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