Referenced Items are not available for this document.
This paper presents a method for human detection in video sequence. The Histogram of Oriented Gradients (HOG) descriptors show experimentally significantly out-performs existing feature sets for human detection. Because of HOG computation influence on performance, we finally choose a more better HOG descriptor to extract human feature from visible spectrum images based on OpenCv and MS VC++. We realized an image descriptor based on Integral Histograms of Oriented Gradients (HOG), associated with a Support Vector Machine (SVM) classifier and evaluate its efficiency.
Published in:
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Date of Conference: 3-5 March 2011
- Page(s):
- 1 - 5
- Print ISBN:
- 978-1-4244-9795-9
- INSPEC Accession Number:
- 12272880
- Conference Location :
- Hammamet
- Digital Object Identifier :
- 10.1109/CCCA.2011.6031422
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
