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

E. Kuznetsova; E. Shvets; D. Nikolaev

doi:10.1117/12.2228707

8 December 2015 Viola-Jones based hybrid framework for real-time object detection in multispectral images

E. Kuznetsova, E. Shvets, D. Nikolaev

Author Affiliations +

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750N (2015) https://doi.org/10.1117/12.2228707
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

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.

Citation Download Citation

E. Kuznetsova, E. Shvets, and D. Nikolaev "Viola-Jones based hybrid framework for real-time object detection in multispectral images", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750N (8 December 2015); https://doi.org/10.1117/12.2228707

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