Vehicle Re-Identification for Automatic Video Traffic Surveillance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121634" target="_blank" >RIV/00216305:26230/16:PU121634 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPRW.2016.195" target="_blank" >http://dx.doi.org/10.1109/CVPRW.2016.195</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPRW.2016.195" target="_blank" >10.1109/CVPRW.2016.195</a>
Alternative languages
Result language
angličtina
Original language name
Vehicle Re-Identification for Automatic Video Traffic Surveillance
Original language description
This paper proposes an approach to the vehicle re-identification problem in a multiple camera system. We focused on the re-identification itself assuming that the vehicle detection problem is already solved including extraction of a full-fledged 3D bounding box. The re-identification problem is solved by using color histograms and histograms of oriented gradients by a linear regressor. The features are used in separate models in order to get the best results in the shortest CPU computation time. The proposed method works with a high accuracy (60% true positives retrieved with 10% false positive rate on a challenging subset of the test data) in 85 milliseconds of the CPU (Core i7) computation time per one vehicle re-identification assuming the fullHD resolution video input. The applications of this work include finding important parameters such as travel time, traffic flow, or traffic information in a distributed traffic surveillance and monitoring system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Workshop on Automatic Traffic Surveillance (CVPR 2016)
ISBN
978-0-7695-4989-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1568-1574
Publisher name
IEEE Computer Society
Place of publication
Las Vegas
Event location
Las Vegas
Event date
Jun 26, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391572100188