The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
Efficiently and accurately detecting pedestrians plays a very important role in many computer vision applications such as video surveillance and smart cars. In order to find the ri...
Abstract. In this paper, a multiview pedestrian detection method based on Vector Boosting algorithm is presented. The Extended Histograms of Oriented Gradients (EHOG) features are ...
Use of IR images is advantageous for many surveillance applications where the systems must operate around the clock and external illumination is not always available. We investiga...