5 August 2009 An efficient approach to extraction ROI from infrared image sequence
Author Affiliations +
Abstract
ROI(Region of Interest) extraction plays an important role in the field of infrared image signal processing. How to make the compressed image preserve certain auto target recognition performance is an important problem. In order to reduce storage space and lower transmission time, this paper proposed a new algorithm to extract ROI of sequence image. Different from traditional region of interest extraction algorithms, the algorithm extracts region of interest based on a dynamic background modeling approach. Aiming at the slow learning rate of traditional mixture Gaussian model(GMM) this paper proposed a moving object detection algorithm . First, the mixed Gaussian model was constructed , and a new way was adopted to update background which utilized different equations at different phases. With the development of adaptive background update and the adaptive learning rate which always has been improved on the application matures. The validity of the proposed approach is demonstrated on the infrared image ROI extraction. Experimental results show that the approach is efficient both in computational cost and segmentation quality. On the other hand the improved algorithm solves the hole and hollow when the moving object is short of sufficient surface texture by symmetrical differencing algorithm.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qing-hua Chen, Xiao-fang Xie, Tian-jie Guo, Sheng-zhi Yuan, "An efficient approach to extraction ROI from infrared image sequence", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738345 (5 August 2009); doi: 10.1117/12.835140; https://doi.org/10.1117/12.835140
PROCEEDINGS
6 PAGES


SHARE
Back to Top