Robust human detection with occlusion handling by fusion of thermal and depth images from mobile robot
In this paper, a robust surveillance system to enable robots to detect humans in indoor environments is proposed. The proposed method is based on fusing information from thermal and depth images which allows the detection of human even under occlusion. The proposed method consists of three stages, p...
Main Authors: | Hasim, Saipol Hadi, Mamat, Rosbi, Sheikh, Usman Ullah, Mohd. Amin, Shamsuddin |
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Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2016
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Subjects: | |
Online Access: | http://eprints.utm.my/71479/1/Rosbi%20Mamat2016_Robusthumandetectionwithocclusion.pdf |
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