BENCHMARKING HAAR AND HISTOGRAMS OF ORIENTED GRADIENTS FEATURES APPLIED TO VEHICLE DETECTION
Pablo Negri, Xavier Clady, Lionel Prévost · 2007
This paper provides a comparison between two of the most used visual descriptors (image features) nowadays in the field of object detection. The investigated image features involved the Haar filters and the Histogram of Oriented Gradients (HoG) applied for the on road vehicle detection. Tests are very encouraging with a average detection of 96% on realistic on-road vehicle images.