Cited By
View all- Khan NMedlock GGraves SAnwar S(2018)GPS Guided Autonomous Navigation of a Small Agricultural Robot with Automated Fertilizing SystemSAE Technical Paper Series10.4271/2018-01-0031Online publication date: 3-Apr-2018
A Robotic Surveillance Platform Based on an On-board Computer Vision Approach
Authors: 
Ahmed Aly Ibrahim, 
Zainhom Sayed Ghareeb, Omar M. Shehata, El-Sayed Imam MorganAuthors Info & Claims
Ahmed Aly Ibrahim, Zainhom Sayed Ghareeb, Omar M. Shehata, El-Sayed Imam MorganAuthors Info & ClaimsPages 41 - 45
Abstract
Surveillance and monitoring systems are considered to be one of the most reliable and commonly used type of security systems. These systems rely heavily on human interaction for optimal operation. In an environment where a high level of security is needed, problems caused by human errors are not acceptable. By eliminating human interaction from automatic surveillance systems, a more reliable security system can be created for a better rate of crime detection and prevention. This can only be achieved by introducing computer vision capabilities to these systems. These autonomous systems should be able to gather and collect information from the frames captured by the Closed-circuit television (CCTV) cameras and use them for different applications such as vehicle number plate recognition, face recognition, etc.
This paper will discuss building a basic on-board computer vision system to detectcars and pedestrians. The system will be mounted on a roaming robot to replace multiple fixed cameras with a single one that cover the same distance to reduce system cost.
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Published In
December 2016
195 pages
ISBN:9781450352130
DOI:10.1145/3029610
Copyright © 2016 ACM.
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Published: 07 December 2016
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ICCMA '16
ICCMA '16: 4th International Conference on Control, Mechatronics and Automation
December 7 - 11, 2016
Barcelona, Spain
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View all- Khan NMedlock GGraves SAnwar S(2018)GPS Guided Autonomous Navigation of a Small Agricultural Robot with Automated Fertilizing SystemSAE Technical Paper Series10.4271/2018-01-0031Online publication date: 3-Apr-2018
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