DocumentCode :
3761158
Title :
On the segmentation of pedestrians in infrared images
Author :
K M Pooja;R Rajesh;Jyoti Kumari
Author_Institution :
Department of Computer Science, Central University of South Bihar, Patna, Bihar
fYear :
2015
Firstpage :
44
Lastpage :
49
Abstract :
The brightness of objects of in infrared images slightly differ from the surrounding background and hence it makes a challenging task to segment pedestrians in infrared images. Recently Zhaoying Liu et al. have suggested an iterative method using multiple features for the segmentation of ships. We have proposed a modified iteration less method along with Gamma correction for the segmentation of pedestrians. The segmentation results on benchmarking OSU thermal pedestrian database are promising.
Keywords :
"Image segmentation","Histograms","Brightness","Databases","Marine vehicles","Benchmark testing","Iterative methods"
Publisher :
ieee
Conference_Titel :
Research in Computational Intelligence and Communication Networks (ICRCICN), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICRCICN.2015.7434207
Filename :
7434207
Link To Document :
بازگشت