Open AccessJournal Article
Movement vector detection with reliability indices
TL;DR: The algorithm proposed in this paper will offer the suitable movement information for the information integration, which is processed in the successional tasks.
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Abstract: There is one method, called the Block Gradient Method here, whereby to detect image movements from an image sequence. This method has an advantage over the computing costs in a movement vector. However, this method has a general problem, in that the reliability of the detected movements varies with varying conditions, such as the image texture. Therefore, it is important to obtain some indices which indicate the reliability of the detected movements for sequential tasks which use them. In this paper, the reliability of the detected movement by this method is discussed and indices indicating it are proposed. The effectiveness of the indices is shown by experiments. A movement vector stabilizing process, using the indices, is also described. The algorithm proposed in this paper will offer the suitable movement information for the information integration, which is processed in the successional tasks.
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Citations
A new inconsistency measure for linear systems and two applications in motion analysis
Yan Niu,Anthony Dick,Michael J. Brooks +2 more
- 01 Nov 2009
TL;DR: Experimental results on benchmark sequences validate the performance of the proposed measure on both problems, to predict the fidelity of a local optical flow computation system and to detect motion boundaries.
•Dissertation
Optical flow estimation in the presence of fast or discontinuous motion.
Yan Niu
- 01 Jan 2010
TL;DR: In this article, the authors present a Statement of Originality (SOI) and a statement of originality (OPO) for the authorship of their work. But
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