JOURNAL ARTICLE
Adaptive graph-cuts algorithm based on higher-order MRF for video moving object detection
Year: 2012 Journal: Electronics Letters Vol: 48 (7)Pages: 371-373 Publisher: Institution of Engineering and Technology
Abstract
A new graph-cuts algorithm for video moving object detection is presented. Using the area, perimeter and shape of the moving objects, the energy function from the low-order Markov random field (LMRF) model is extended to the HMRF model, and the approximate graph-cuts algorithm based on this HMRF model is derived. Experimental results show that the proposed method is more effective than the traditional graph-cuts algorithm for video moving object detection.
Keywords:
Cut Graph Algorithm Artificial intelligence Computer vision Markov random field Object detection Computer science Mathematics Pattern recognition (psychology) Image segmentation Image (mathematics) Theoretical computer science
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2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
1
Refs
0.05
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Is in top 1%
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Citation History
Topics
Advanced Image and Video Retrieval Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Video Surveillance and Tracking Methods
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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