Automatic enrollment for gait-based person re-identification

Javier Ortells; Raúl Martín-Félez; Ramón A. Mollineda

doi:10.1117/12.2180582

14 February 2015 Automatic enrollment for gait-based person re-identification

Javier Ortells, Raúl Martín-Félez, Ramón A. Mollineda

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94450G (2015) https://doi.org/10.1117/12.2180582
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

Automatic enrollment involves a critical decision-making process within people re-identification context. However, this process has been traditionally undervalued. This paper studies the problem of automatic person enrollment from a realistic perspective relying on gait analysis. Experiments simulating random flows of people with considerable appearance variations between different observations of a person have been conducted, modeling both short- and longterm scenarios. Promising results based on ROC analysis show that automatically enrolling people by their gait is affordable with high success rates.

Citation Download Citation

Javier Ortells, Raúl Martín-Félez, and Ramón A. Mollineda "Automatic enrollment for gait-based person re-identification", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94450G (14 February 2015); https://doi.org/10.1117/12.2180582

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