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

页码：44 / 49

页数：6

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