Automatic enrolment for gait-based person re-identification under various view angles
by Imen Chtourou; Emna Fendri; Mohamed Hammami
International Journal of Biometrics (IJBM), Vol. 13, No. 4, 2021

Abstract: Automatic enrolment constitutes a demanding decision-making practice for person re-identification task but rarely considered in the literature. This paper introduces a new method for automatic enrolment relying on gait analysis. The enrolment problem involves that the gallery database is automatically fed as a new subject is presented. The originality of the proposed method is that in the gallery, a given subject may be represented by several samples. This will improve the re-identification under various view angles. Experiments on CASIA-B database based on accuracy, sensitivity and specificity proved the performance and flexibility of the proposed method.

Online publication date: Mon, 04-Oct-2021

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