This paper presents a novel approach in pedestrian detection in static images. The state-of-art feature named Histograms of Oriented Gradients (HOG) [1] is adopted as the basic feature which we modify and create a new feature using boosting algorith
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributions.
