Pedestrian Detection with Unsupervised Multi-stage Feature Learning

Pedestrian detection is a problem of considerable practical interest. Adding to the list of successful applications of deep learning methods to vision, we report state-of-the-art and competitive results on all major pedestrian datasets with a convolutional network model. The model uses a few new twi...

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Bibliographic Details

Published in:	2013 IEEE Conference on Computer Vision and Pattern Recognition pp. 3626 - 3633
Main Authors:	Sermanet, Pierre, Kavukcuoglu, Koray, Chintala, Soumith, Lecun, Yann
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2013
Subjects:	computer vision convolutional Convolutional codes deep learning detection Encoding Equations Feature extraction Mathematical model pedestrian Training unsupervised Unsupervised learning
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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