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Proceedings Paper

A new approach for salient motion in dynamic scenes
Author(s): Min Liu; Weizhong Liu; Daoli Zhang
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Paper Abstract

We introduce a new approach for salient motion in dynamic scenes. The proposed method is based on dynamic texture (DT) model and observability of the linear systems. Each video clip of τ frames is represented by DT in a holistic manner and the learned DT parameters are used to form an efficient formula of measuring observability. The formula is related to time-domain eigenvalues and eigenvectors. But the eigenvalue decomposition operation is not needed. The salient motion is detected by thresholding the observability values of each pixel location. Besides, we also introduce the system property of observability which can be used to reduce computational cost. Our method is tested on a challenging sequences set. Experimental results show that the proposed method has better trade-off between detection results and time efficiency than most current methods.

Paper Details

Date Published: 13 March 2013
PDF: 5 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87830B (13 March 2013); doi: 10.1117/12.2012479
Show Author Affiliations
Min Liu, Huazhong Univ. of Science and Technology (China)
Weizhong Liu, Huazhong Univ. of Science and Technology (China)
Daoli Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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