NDLI: Detection of surviving humans in destructed environments using a simulated autonomous robot

Content Provider	IEEE Xplore Digital Library
Author	Shamroukh, R. Awad, F.
Copyright Year	2009
Description	Author affiliation: Balqa Applied University, Department of Computer Engineering, Amman, Jordan (Shamroukh, R.) \|\| Jordan University of Science and Technology, Department of Computer Engineering, P.O. Box 3030, Irbid, Jordan (Awad, F.)
Abstract	In this paper, a new approach for detecting surviving humans in destructed environments using a simulated autonomous robot is proposed. The proposed system uses a passive infrared sensor (PIR) in order to detect the existence of living humans and a low-cost camera in order to acquire a snapshot of the scene as needed. Having detected a sign of a living human, the PIR sensor triggers the camera to acquire an image of the scene. The image is fed into a feed-forward neural network, trained to detect the existence of a human body or part of it within an obstructed environment. This approach requires a relatively small number of images to be acquired and processed during the rescue operation. This way, the real-time cost of image processing and data transmission is considerably reduced. The results of the conducted experiments demonstrated that this system has the potential to achieve high performance in detecting living humans in obstructed environments relatively quickly and cost-effectively. The detection accuracy of the system ranged between 79% and 91% depending on a number of factors such as the body position, the light intensity of the scene, and the relative color matching between the body and the surrounding environment.
Starting Page	1
Ending Page	6
File Size	8791092
Page Count	6
File Format	PDF
ISBN	9781424434800
DOI	10.1109/ISMA.2009.5164820
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-23
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared detectors Image sensors Layout Robot vision systems Neural networks Humans Robot sensing systems Cameras Infrared sensors Feedforward systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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