Multishot person reidentification through inlier orientation and consensus clusters

Aparajita Nanda; Suman K. Choudhury; Pankaj K. Sa

doi:10.1117/1.JEI.26.6.063017

23 November 2017 Multishot person reidentification through inlier orientation and consensus clusters

Aparajita Nanda, Suman K. Choudhury, Pankaj K. Sa

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 6, 063017 (November 2017). https://doi.org/10.1117/1.JEI.26.6.063017

Abstract

Reidentifying people across disjoint camera views, known as person reidentification (PRId), has gained attention in many surveillance applications. This letter presents a framework for PRId that jointly exploits orientation and appearance cues to filter a subset of gallery candidates, where the probability of finding an exact match for a given probe remains very high. In addition, a similarity measure is formulated using the bipartite graph matching together with the weights of feature channels to estimate the correspondence within the filtered set. Experimental evaluation on standard datasets alongside comparisons with state-of-the-art validates the efficacy of our approach.

Citation Download Citation

Aparajita Nanda, Suman K. Choudhury, and Pankaj K. Sa "Multishot person reidentification through inlier orientation and consensus clusters," Journal of Electronic Imaging 26(6), 063017 (23 November 2017). https://doi.org/10.1117/1.JEI.26.6.063017

Received: 31 May 2017; Accepted: 26 October 2017; Published: 23 November 2017

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