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2014 | OriginalPaper | Buchkapitel

7. Person Re-identification by Articulated Appearance Matching

verfasst von : Dong Seon Cheng, Marco Cristani

Erschienen in: Person Re-Identification

Verlag: Springer London

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Abstract

Re-identification of pedestrians in video-surveillance settings can be effectively approached by treating each human figure as an articulated body, whose pose is estimated through the framework of Pictorial Structures (PS). In this way, we can focus selectively on similarities between the appearance of body parts to recognize a previously seen individual. In fact, this strategy resembles what humans employ to solve the same task in the absence of facial details or other reliable biometric information. Based on these insights, we show how to perform single image re-identification by matching signatures coming from articulated appearances, and how to strengthen this process in multi-shot re-identification by using Custom Pictorial Structures (CPS) to produce improved body localizations and appearance signatures. Moreover, we provide a complete and detailed breakdown-analysis of the system that surrounds these core procedures, with several novel arrangements devised for efficiency and flexibility. Finally, we test our approach on several public benchmarks, obtaining convincing results.

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Vorheriges Kapitel Person Re-identification by Attribute-Assisted Clothes Appearance

Nächstes Kapitel One-Shot Person Re-identification with a Consumer Depth Camera

http://phoenix.ics.uci.edu/software/pose/

http://pascal.inrialpes.fr/data/human/

http://www.umiacs.umd.edu/~schwartz/datasets.html

Available at http://www.re-identification.net/.

Available at http://san.hufs.ac.kr/~chengds/software.html.

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Titel: Person Re-identification by Articulated Appearance Matching
verfasst von: Dong Seon Cheng
Marco Cristani
Verlag: Springer London
Buch: Person Re-Identification
Print ISBN: 978-1-4471-6295-7

Electronic ISBN: 978-1-4471-6296-4

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-1-4471-6296-4_7

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