Publication

Boosting histograms of oriented gradients for human detection

Conference Article

Conference

Computer Vision: Advances in Research & Development (CVCRD)

Edition

2nd

Pages

1-6

Doc link

http://iselab.cvc.uab.es/

File

Download the digital copy of the doc pdf document

Authors

Projects associated

Abstract

In this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of square blocks. This novel method outperforms the integral of oriented histograms allowing the calculation of a single feature four times faster. Using Adaboost for HOG feature selection and Support Vector Machine as weak classifier, we build up a fast human classifier with an excellent detection rate.

Categories

computer vision.

Author keywords

object recognition, machine vision, pattern recognition

Scientific reference

M. Pedersoli, J. Gonzàlez, B. Chakraborty and J.J. Villanueva. Boosting histograms of oriented gradients for human detection, 2nd Computer Vision: Advances in Research & Development, 2007, Bellaterra, Espanya, pp. 1-6, s. n..