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Proceedings Paper

Generalization of the Viola-Jones method as a decision tree of strong classifiers for real-time object recognition in video stream
Author(s): A. Minkina; D. Nikolaev; S. Usilin; V. Kozyrev
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Paper Abstract

In this paper, we present a new modification of Viola-Jones complex classifiers. We describe a complex classifier in the form of a decision tree and provide a method of training for such classifiers. Performance impact of the tree structure is analyzed. Comparison is carried out of precision and performance of the presented method with that of the classical cascade. Various tree architectures are experimentally studied. The task of vehicle wheels detection on images obtained from an automatic vehicle classification system is taken as an example.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944517 (14 February 2015); doi: 10.1117/12.2180941
Show Author Affiliations
A. Minkina, Visillect Service Ltd. (Russian Federation)
D. Nikolaev, Institute for Information Transmission Problems (Russian Federation)
S. Usilin, Institute for Systems Analysis (Russian Federation)
V. Kozyrev, Visillect Service Ltd. (Russian Federation)

Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

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