Pedestrian detection for underground mine vehicles using thermal images

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.

Anti-Collision Systems in Tunneling to Improve Effectiveness and Safety in a System-Quality Approach: A Review of the State of the Art

“…These mirrors must be relatively large, making a scanning radar system bulky and potentially problematic in underground environments [37]. The proximity of tunnel walls and other objects makes radar use in underground environments problematic due to frequent false alarms [23,28,[38][39][40][41]. False alarms may be due to the detection of objects that do not represent any danger (e.g., rocks, building materials) [28,36] or due to loud noises or other unwanted object reflection, other than the target [33], causing a sense of frustration in the driver and leading the driver to ignore them [28].…”

Development of Agent Logic Programming Means for Multichannel Intelligent Video Surveillance

“…The main areas of application of this idea are detection, recognition and reidentification of people in intelligent video surveillance systems [5][6][7][8][9][10][11], medical applications, including remote detection of dangerous diseases by the airport security system [12][13][14][15], support of rescuers [16], interaction people with robots [17], agriculture [18,19], automatic video surveillance for serviceability and safety of equipment operation, thermal imaging odometry [20][21][22]. In this article, as an example, the problem of remote temperature estimation of body parts of people moving in the area of video surveillance will be considered.…”

A Customized Vision System for Tracking Humans Wearing Reflective Safety Clothing from Industrial Vehicles and Machinery

“…Color vision in combination with various tracking algorithms was successfully used to track and monitor construction workers from both static and dynamic cameras [ 17 ]. A pedestrian detection system specifically designed for underground mining vehicles [ 18 ] proposes the use of thermal images for detection and a 3D range data for depth estimation. Thermal vision is used in this case because of its insensitivity to illumination changes and to the frequent obscuring dust in underground mining.…”