Benchmarking Haar and Histograms of Oriented Gradients features applied to vehicle detection

PABLO NEGRI; XAVIER CLADY; LIONEL PREVOST

Angers, Francia

Conferencia; International Conference on Informatics in Control, Automation and Robotics; 2007

INSTICC

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.