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An Experimental Study on Pedestrian Classification using Local Features

Paisitkriangkrai, Sakrapee; Shen, Chunhua; Zhang, Jian (Andrew)

Description

This paper presents an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradients (HOG) and local receptive fields (LRF) feature descriptors is experimentally evaluated. The experiments are performed on both the benchmarking dataset used in [1] and the MIT CBCL dataset. Both can be publicly accessed. The experimental...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
URI: http://hdl.handle.net/1885/27997
Source: Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
DOI: 10.1109/ISCAS.2008.4542024

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