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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5273

Title: Pedestrian detection for underground mine vehicles using thermal images
Authors: Dickens, JS
Van Wyk, MA
Green, JJ
Keywords: Mine vehicles
Mine vehicle collisions
Mine vehicle personnel collisions
Pedestrial detection
Thermal images
Pedestrian velocities
Mine environment
Mining
Obstacle detection
Human tracking
Segmentation
IEEE Africon 2011
Issue Date: Sep-2011
Publisher: IEEE Africon 2011
Citation: Dickens, JS, Van Wyk, MA and Green, JJ. 2011. Pedestrian detection for underground mine vehicles using thermal images. IEEE Africon, Livingstone Zambia, 13-15 September 2011
Series/Report no.: Workflow request;7519
Abstract: Mine vehicles are a leading cause of mining fatalities. A reliable anti-collision system is needed to prevent vehicle-personnel collisions. The proposed collision detection system uses the fusion of a three-dimensional (3D) sensor and thermal infrared camera for human detection and tracking. In addition to a thermal camera, a distance sensor will provide depth information and allow the calculation of the vehicle and pedestrian velocities. The results of subsystem tests show that a simple temperature range is sufficient for segmentation and a neural network shows the best classification results in terms of speed and accuracy. Results of initial tests performed on two different 3D sensors show a significant disadvantage to the use of time of flight cameras in a mine environment.
Description: IEEE Africon, Livingstone Zambia, 13-15 September 2011
URI: http://hdl.handle.net/10204/5273
Appears in Collections:Mining and geoscience
Infrastructure engineering
General science, engineering & technology

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