TY - JOUR
TI - Advanced thermal camera based system for object detection on rail tracks
AU - Pavlović Milan G
AU - Ćirić Ivan T
AU - Ristić-Durrant Danijela D
AU - Nikolić Vlastimir D
AU - Simonović Miloš B
AU - Ćirić Milica V
AU - Banić Milan S
JN - Thermal Science
PY - 2018
VL - 22
IS - 15
SP - 1551
EP - 1561
PT - Article
AB - In this paper, an advanced thermal camera-based system for detection of  objects on rail tracks is presented. Developed system is powered by advanced  image processing algorithm, in order to achieve greater reliability and  robustness, and tested on set of infrared images captured at night  conditions. The goal of this system is to detect objects on rail tracks and  next to them and estimate distances between camera stand and detected  objects. For that purpose, different edge detection methods are tested, and  finally Canny edge detector is selected for rail track detection and for  determination of region of interest, further used for analysis in object  detection process. In determined region of interest, region-based  segmentation is used for object detection. For estimation of distances  between camera stand and detected objects, homography based method is used.  Validation of estimated distances is done, in respect to real measured  distances from camera stand to objects (humans) involved in experiment.  Distances are estimated with a maximum error of 2%. System can provide  reliable object detection, as well as distance estimation, and for improved  robustness and adaptability, artificial intelligence tools can be used.