Vehicle class recognition using multiple video cameras
D Han, J Hwang, H Hahn, DB Cooper - … Revised Selected Papers, Part I 10, 2011 - Springer
We present an approach to 3D vehicle class recognition (which of SUV, mini-van, sedan,
pickup truck) with one or more fixed video-cameras in arbitrary positions with respect to a
road. The vehicle motion is assumed to be straight. We propose an efficient method of
Structure from Motion (SfM) for camera calibration and 3D reconstruction. 3D geometry such
as vehicle and cabin length, width, height, and functions of these are computed and become
features for use in a classifier. Classification is done by a minimum probability of error …
pickup truck) with one or more fixed video-cameras in arbitrary positions with respect to a
road. The vehicle motion is assumed to be straight. We propose an efficient method of
Structure from Motion (SfM) for camera calibration and 3D reconstruction. 3D geometry such
as vehicle and cabin length, width, height, and functions of these are computed and become
features for use in a classifier. Classification is done by a minimum probability of error …
[引用][C] Vehicle Class Recognition using Multiple Video Cameras
한헌수 - accv-visual surveillance 2010, 2010 - scholarworks.bwise.kr
… Publisher accv -visual surveillance 2010 Citation accv -visual surveillance 2010 …
Conference Name accv -visual surveillance 2010 …
Conference Name accv -visual surveillance 2010 …
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