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. 2020 Sep 8;20(18):5109. doi: 10.3390/s20185109
AVC animal-vehicle collision
CPU central processing unit
CV computer vision
DL deep learning
FAST features from accelerated segment test
FIR far-infrared
FPS frames per second
GFTT good features to track
GMG Godbehere-Matsukawa-Goldberg
GMM Gaussian mixture models
HW hardware
KNN k-nearest neighbours
LK Lucas-Kanade
MIR mid-infrared
ML machine learning
MOG mixture-of-gaussian
NIR near-infrared
RADS roadway animal detection system
RGB red-green-blue
ROI region of interest
RT real time
SD standard deviation
SW software
WVC wildlife-vehicle collision