Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features
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]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Circuits and Systems for Video Technology|
|01_Paisitkriangkrai_Fast_Pedestrian_Detection_2008.pdf||1.3 MB||Adobe PDF||Request a copy|
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