Abstract
Background construction is the base of object detection and tracking of machine vision systems. Traditional background modeling methods often require complicated computations and are sensitive to illumination changes. This paper proposes a novel block-based background modeling method based on a hierarchical coarse-to-fine texture description, which fully utilizes the texture characteristics of each incoming frame. The proposed method is efficient and can resist both illumination changes and shadow disturbance. The experimental results show that this method is suitable for real-world scenes and real-time applications.
Original language | English |
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Pages (from-to) | 106-127 |
Number of pages | 22 |
Journal | Information Sciences |
Volume | 269 |
DOIs | |
Publication status | Published - 2014 Jun 10 |
Externally published | Yes |
Keywords
- Background modeling
- Gaussian mixture modeling
- Motion detection
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence