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Title of Article

A REVIEW OF VEHICLE DETECTION AND TRACKING METHODS IN VIDEO


Issue
5
Date
2012

Article type
scientific article
UDC
004.932
Pages
348-358
Keywords
 


Authors
Zolotykh Nikolay Yurevich
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo

Kustikova Valentina Dmitrievna
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo

Meerov Iosif Borisovich
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo


Abstract
A classification of the methods to detect vehicles on the road section is considered along with the weak and strong points of the approaches proposed. A general scheme of the problem solution is described using computer vision techniques. Vehicle detection and tracking methods in video are considered.

File (in Russian)