Histogram-Based Human Segmentation Technique for Infrared Images

被引：0

作者：

Wu, Di ^{[1
,2
]}

Zhou, Zuofeng ^{[1
]}

Yang, Hongtao ^{[1
]}

Cao, Jianzhong ^{[1
]}

机构：

[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

RECENT DEVELOPMENTS IN INTELLIGENT COMPUTING, COMMUNICATION AND DEVICES, ICCD 2016 | 2017年 / 555卷

关键词：

Histogram; Human segmentation; Infrared images; PEDESTRIAN DETECTION; CAMERA;

D O I：

10.1007/978-981-10-3779-5_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Human detection in infrared video surveillance system is a challenging issue of computer vision. Effective human segmentation plays an important role in human detection. However, occlusion between different people makes it difficult to segment human groups. In this paper, we propose a new method for infrared human segmentation based on the histogram information. After selecting regions of interest with background subtraction, each connected human region is separated into single ones by analyzing histogram trend and calculating peak number. Experiment results show the accuracy of our method.

引用

页码：129 / 132

页数：4

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