Towards Reliable Real-Time Person Detection

Silviu-Tudor Serban 1 Srinidhi Mukanahallipatna Simha 1 Vasanth Bathrinarayanan 1 Etienne Corvee 1 Francois Bremond 1
1 STARS - Spatio-Temporal Activity Recognition Systems
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We propose a robust real-time person detection system, which aims to serve as solid foundation for developing solutions at an elevated level of reliability. Our belief is that clever handling of input data correlated with efficacious training algorithms are key for obtaining top performance. We introduce a comprehensive training method based on random sampling that compiles optimal classifiers with minimal bias and overfit rate. Building upon recent advances in multi-scale feature computations, our approach attains state-of-the-art accuracy while running at high frame rate.
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Communication dans un congrès
VISAPP - The International Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. 2014
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Soumis le : lundi 25 novembre 2013 - 18:30:24
Dernière modification le : mardi 24 juillet 2018 - 15:48:03
Document(s) archivé(s) le : mercredi 26 février 2014 - 09:55:17

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Silviu-Tudor Serban, Srinidhi Mukanahallipatna Simha, Vasanth Bathrinarayanan, Etienne Corvee, Francois Bremond. Towards Reliable Real-Time Person Detection. VISAPP - The International Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. 2014. 〈hal-00909124〉

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