Title :
Saliency-based automatic target detection in forward looking infrared images
Author :
Li, Wei ; Pan, Chunhong ; Liu, Li-xiong
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
Abstract :
A saliency-based target detection method for forward looking infrared (FLIR) image is proposed. Firstly, saliency map is computed using scale-space representation and separated into dark saliency map (DSM) and bright saliency map (BSM). Secondly, dark and bright regions of interest (ROI) are detected by respective type of saliency map using marker-based maximally stable extremal regions (MSER) detection algorithm. Finally, shape matching algorithm is applied after grouping of the two types of ROI for object detection. Experimental results show that this work provides a promising way to solve the problems caused by salient dark parts of target.
Keywords :
image representation; infrared imaging; object detection; forward looking infrared images; maximally stable extremal regions; object detection; saliency map; saliency-based automatic target detection; scale-space representation; Automation; Computer science; Detection algorithms; Infrared detectors; Infrared imaging; Laboratories; Object detection; Pattern recognition; Shape; Signal processing algorithms; forward looking infrared; region of interest; saliency map; shape matching;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414028
