On the Segmentation of Pedestrians in Infrared Images

被引：0
|
作者：
Pooja, K. M. [1 ]
Rajesh, R. [1 ]
Kumari, Jyoti [1 ]
机构：
[1] Cent Univ South Bihar, Dept Comp Sci, Patna, Bihar, India
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN) | 2015年
关键词：
ADAPTIVE GAMMA CORRECTION; SALIENT REGION DETECTION; PROPAGATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：44 / 49
页数：6
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