23 November 2017 Multishot person reidentification through inlier orientation and consensus clusters
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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.
© 2017 SPIE and IS&T
Aparajita Nanda, Aparajita Nanda, Suman K. Choudhury, Suman K. Choudhury, Pankaj K. Sa, 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 . Submission: Received: 31 May 2017; Accepted: 26 October 2017
Received: 31 May 2017; Accepted: 26 October 2017; Published: 23 November 2017
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