People re-identification and tracking from multiple cameras: A review

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Abstract

People tracking is a central and crucial point for the development of intelligent surveillance systems. When multiple cameras are used, the problem becomes more challenging as people re-identification is needed. Humans can greatly change their appearance according to posture, clothing and lighting conditions, thus defining features that describe people moving in large scenarios is a complex task. In this paper the problem of people re-identification and tracking is reviewed. The most used methodologies are discussed and insight into open problems and future research directions is provided. © 2012 IEEE.

Autore Pugliese

Tutti gli autori

  • D'Orazio T.; Cicirelli G.

Titolo volume/Rivista

Proceedings - International Conference on Image Processing

Anno di pubblicazione

2012

ISSN

1522-4880

ISBN

9781467325332

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Nessuna citazione

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