Paper
8 May 2012 Salient region detection for object tracking
Fan Chan, Min Jiang, Jinshan Tang
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fan Chan, Min Jiang, and Jinshan Tang "Salient region detection for object tracking", Proc. SPIE 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012, 84060G (8 May 2012); https://doi.org/10.1117/12.921598
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Cited by 1 patent.
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KEYWORDS
Binary data

Detection and tracking algorithms

Video

Motion measurement

Motion detection

Image processing

Image processing algorithms and systems

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