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Proceedings Paper

Salient region detection for object tracking
Author(s): Fan Chan; Min Jiang; Jinshan Tang
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Paper Abstract

In this paper, we propose an algorithm for salient region detection, which can be used in object detection, tracking, video monitoring, and other machine vision fields. The proposed algorithm firstly computes the global similarity between video frames to create a similarity map. Then it finds the coarse positions of moving regions in the similarity map. Finally, the moving objects are obtained by computing color similarity. The experimental results show that the proposed algorithm can detect salient regions effectively and can extract the moving objects in video sequences with static background.

Paper Details

Date Published: 8 May 2012
PDF: 6 pages
Proc. SPIE 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012, 84060G (8 May 2012); doi: 10.1117/12.921598
Show Author Affiliations
Fan Chan, Wuhan Univ. of Science and Technology (China)
Min Jiang, Wuhan Univ. of Science and Technology (China)
Jinshan Tang, Wuhan Univ. of Science and Technology (China)
Michigan Technological Univ. (United States)


Published in SPIE Proceedings Vol. 8406:
Mobile Multimedia/Image Processing, Security, and Applications 2012
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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