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Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features

Paisitkriangkrai, Sakrapee; Shen, Chunhua; Zhang, Jian


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 right feature for this task, we first present a comprehensive experimental study on pedestrian detection using state-of-the-art locally extracted features (e.g., local receptive fields, histogram of oriented gradients, and region covariance). Building upon the findings of our experiments, we propose a new, simpler...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Journal article
Source: IEEE Transactions on Circuits and Systems for Video Technology
DOI: 10.1109/TCSVT.2008.928213


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