Real-time background compensation for PTZ cameras using GPU accelerated and range-limited genetic algorithm search

Authors:
Thuy Tuong Nguyen;Jae Wook Jeon
Affiliations:
School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea
Venue:
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Year:
2011

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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.