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Proceedings Paper

Viola-Jones based hybrid framework for real-time object detection in multispectral images
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Paper Abstract

This paper describes a method for real-time object detection based on a hybrid of a Viola-Jones cascade with a convolutional neural network. This scheme allows flexible trade-offs between detection quality and computational performance. We also propose a generalization of this method to multispectral images that effectively and efficiently utilizes information from each spectral channel. The new scheme is experimentally compared to traditional Viola-Jones, showing improved detection quality with adjustable performance.

Paper Details

Date Published: 8 December 2015
PDF: 6 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750N (8 December 2015); doi: 10.1117/12.2228707
Show Author Affiliations
E. Kuznetsova, Institute for Information Transmission Problems (Russian Federation)
E. Shvets, Institute for Information Transmission Problems (Russian Federation)
D. Nikolaev, Institute for Information Transmission Problems (Russian Federation)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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