On application of the histogram of oriented gradients method to vehicles identification
Development of theoretical background, methods and algorithms for identification of visual objects has begun when the first computers appeared. Application of various object recognition techniques in modern technical systems is boosted by fast development of powerful, small and relatively cheap digital devices for data processing that become more and more common these days. In this paper, we study the application of the histogram of oriented gradients (HOG) method to the problem of identification of three kinds of vehicles: cars, planes and ships.