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
File
Authors
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Pedersoli, Marco
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Gonzàlez Sabaté, Jordi
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Chakraborty, Bhaskar
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Villanueva Pipaón, Juan José
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..
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