Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article Real-Time Multiple Moving Targets Detection from Airborne IR Imagery by Dynamic Gabor Filter and Dynamic Gaussian Detector | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2010 Article ID 124681 22 pages doi 2010 124681 Research Article Real-Time Multiple Moving Targets Detection from Airborne IR Imagery by Dynamic Gabor Filter and Dynamic Gaussian Detector Fenghui Yao 1 Guifeng Shao 1 Ali Sekmen 1 and Mohan Malkani2 1 Department of Computer Science College of Engineering Technology and Computer Science Tennessee State University 3500 John A Merritt Blvd Nashville tN 37209 USA 2 Department of Electrical and Computer Engineering Tennessee State University Nashville TN 37209 USA Correspondence should be addressed to Fenghui Yao fyao@ Received 1 February 2010 Revised 18 May 2010 Accepted 29 June 2010 Academic Editor Jian Zhang Copyright 2010 Fenghui Yao et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This paper presents a robust approach to detect multiple moving targets from aerial infrared IR image sequences. The proposed novel method is based on dynamic Gabor filter and dynamic Gaussian detector. First the motion induced by the airborne platform is modeled by parametric affine transformation and the IR video is stabilized by eliminating the background motion. A set of feature points are extracted and they are categorized into inliers and outliers. The inliers are used to estimate affine transformation parameters and the outliers are used to localize moving targets. Then a dynamic Gabor filter is employed to enhance the difference images for more accurate detection and localization of moving targets. The Gabor filter s orientation is dynamically changed according to the orientation of optical flows. Next the specular highlights generated by the dynamic Gabor filter are detected. The outliers and specular highlights are fused to indentify the moving targets. If a .
