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SOCHOR, J. HEROUT, A.
Original Title
Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance
Type
conference paper
Language
English
Original Abstract
This paper deals with unsupervised collection of information from traffic surveillance video streams. Deployment of usable traffic surveillance systems requires minimizing of efforts per installed camera - our goal is to enroll a new view on the street without any human operator input. We propose a method of automatically collecting vehicle samples from surveillance cameras, analyze their appearance and fully automatically collect a fine-grained dataset. This dataset can be used in multiple ways, we are explicitly showcasing the following ones: fine-grained recognition of vehicles and camera calibration including the scale. The experiments show that based on the automatically collected data, make&model vehicle recognition in the wild can be done accurately: average precision 0.890. The camera scale calibration (directly enabling automatic speed and size measurement) is twice as precise as the previous existing method. Our work leads to automatic collection of traffic statistics without the costly need for manual calibration or make&model annotation of vehicle samples. Unlike most previous approaches, our method is not limited to a small range of viewpoints (such as eye-level cameras shots), which is crucial for surveillance applications.
Keywords
fine-grained recognition, speed measurement, traffic analysis, clustering, dataset construction
Authors
SOCHOR, J.; HEROUT, A.
RIV year
2015
Released
10. 9. 2015
Publisher
Australian Pattern Recognition Society
Location
Adelaide
ISBN
978-1-4673-6795-0
Book
Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on
Pages from
1
Pages to
8
Pages count
BibTex
@inproceedings{BUT119896, author="Jakub {Sochor} and Adam {Herout}", title="Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance", booktitle="Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on", year="2015", pages="1--8", publisher="Australian Pattern Recognition Society", address="Adelaide", doi="10.1109/DICTA.2015.7371318", isbn="978-1-4673-6795-0" }