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An Approach for Security Problems in Visual Surveillance Systems by Combining Multiple Sensors and Obstacle Detection
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 Title & Authors
An Approach for Security Problems in Visual Surveillance Systems by Combining Multiple Sensors and Obstacle Detection
Teng, Zhu; Liu, Feng; Zhang, Baopeng; Kang, Dong-Joong;
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 Abstract
As visual surveillance systems become more and more common in human lives, approaches based on these systems to solve security problems in practice are boosted, especially in railway applications. In this paper, we first propose a robust snag detection algorithm and then present a railway security system by using a combination of multiple sensors and the vision based snag detection algorithm. The system aims safety at several repeatedly occurred situations including slope protection, inspection of the falling-object from bridges, and the detection of snags and foreign objects on the rail. Experiments demonstrate that the snag detection is relatively robust and the system could guarantee the security of the railway through these real-time protections and detections.
 Keywords
Railway security;Snag detection;Wireless sensor network;
 Language
English
 Cited by
1.
On road vehicle detection by learning hard samples and filtering false alarms from shadow features, Journal of Mechanical Science and Technology, 2016, 30, 6, 2783  crossref(new windwow)
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