Abstract

In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account.Texture information is represented by local binary pattern (LBP), which is tolerant of illumination changes and is computational simplicity.Assuming that there is significant structure in the correlations between observations across time, we propose a novel operator to extract motion information.Then, each pixel is modeled as a group of texture pattern histograms and motion pattern histograms respectively.Finally, we combine the texture pattern-based and motion pattern-based background model.Experimental results on challenging videos demonstrate the robustness and effectiveness of the proposed method.

Keywords:
Computer vision Artificial intelligence Background subtraction Fusion Texture (cosmology) Computer science Motion (physics) Pattern recognition (psychology) Pixel Image (mathematics)

Metrics

6
Cited By
0.00
FWCI (Field Weighted Citation Impact)
14
Refs
0.10
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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