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Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking
Nice, France October 13-October 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238392Ninth IEEE International Conference o ...
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ZuWhan Kim, Jitendra Malik, "Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking," Computer Vision, IEEE International Conference on, vol. 1, pp. 524, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 1, 2003.
 
 
BibTex
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@article{ 10.1109/ICCV.2003.1238392,
author = {ZuWhan Kim and Jitendra Malik},
title = {Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking},
journal ={Computer Vision, IEEE International Conference on},
volume = {1},
year = {2003},
isbn = {0-7695-1950-4},
pages = {524},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238392},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision, IEEE International Conference on
TI - Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking
SN - 0-7695-1950-4
SP
EP
A1 - ZuWhan Kim,
A1 - Jitendra Malik,
PY - 2003
KW - null
VL - 1
JA - Computer Vision, IEEE International Conference on
ER -
 
ZuWhan Kim, University of Berkeley, CA
Jitendra Malik, University of Berkeley, CA
Generating vehicle trajectories from video data is an important application of ITS (Intelligent Transportation Systems). We introduce a new tracking approach which uses model-based 3-D vehicle detection and description algorithm. Our vehicle detection and description algorithm is based on a probabilistic line feature grouping, and it is faster (by up to an order of magnitude) and more flexible than previous image-based algorithms. We present the system implementation and the vehicle detection and tracking results.
Citation:
ZuWhan Kim, Jitendra Malik, "Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking," iccv, vol. 1, pp.524, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 1, 2003
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