Detailed Information
Cited 0 time in 
Cited 1 time in 
Cited 1 time in
Metadata Downloads
Real-time background compensation for PTZ cameras using GPU accelerated and range-limited genetic algorithm search
- Issue Date
- 2011
- Keywords
- Background compensation; GA; GPU; histogram matching
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.7087 LNCS, no.PART1, pp.85 - 96
- Indexed
- SCOPUS
- Volume
- 7087 LNCS
- Number
- PART1
- Start Page
- 85
- End Page
- 96
- ISSN
- 0302-9743
- Abstract
- We propose a range-limited Genetic Algorithm (GA) search with an accelerated Graphics Processing Unit (GPU) based implementation for background compensation where pan-tilt-zoom (PTZ) cameras are used. Our method contains GA with search ranges restricted using histogram matching and GPU implementation of the range-limited GA. First, based on histogram matching, estimation of approximate scale (camera zoom) and translation (camera pan and tilt) parameters is used to restrict the ranges for the later GA search. Next, the GA is applied to find an optimal solution. Experimental comparisons of the proposed method to existing methods show that our work has advantages: robust to critical situations due to using GA, and fast processing. © 2011 Springer-Verlag.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- JEON, JAE WOOK
- Information and Communication Engineering (Semiconductor Systems Engineering)