@inproceedings{b4274bafdb1140b5aa9967a5c5d1cacd,
title = "Saliency-based automatic target detection in forward looking infrared images",
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 = "Forward looking infrared, Region of interest, Saliency map, Shape matching",
author = "Wei Li and Chunhong Pan and Liu, \{Li Xiong\}",
year = "2009",
doi = "10.1109/ICIP.2009.5414028",
language = "English",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "957--960",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
address = "United States",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}