Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

116

Voted

ISCAS
2008
IEEE

120views Hardware» more ISCAS 2008»

An experimental study on pedestrian classification using local features

15 years 11 months ago

An experimental study on pedestrian classification using local features

Download www.cse.unsw.edu.au

Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan

Real-time Traffic

Hardware | ISCAS 2008 |

claim paper

Related Content

» An Experimental Study on Pedestrian Classification

» An Experimental Evaluation of Local Features for Pedestrian Classification

» Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features

» Improving Classification Accuracy by Comparing Local Features through Canonical Correlatio...

» A mixed generativediscriminative framework for pedestrian classification

» Simultaneous localization and mapping for pedestrians using only footmounted inertial sens...

» Contextual Boost for Pedestrian Detection

» Pedestrian Detection via Classification on Riemannian Manifolds

» Image Feature Extraction Using Gradient Local AutoCorrelations

Post Info
More Details (n/a)

Added	31 May 2010
Updated	31 May 2010
Type	Conference
Year	2008
Where	ISCAS
Authors	Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang

Comments (0)