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http://dx.doi.org/10.7236/JIWIT.2012.12.6.135

People Re-identification: A Multidisciplinary Challenge  

Cheng, Dong-Seon (Dept. of Computer Science & Engineering, HUFS)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.12, no.6, 2012 , pp. 135-139 More about this Journal
Abstract
The wide diffusion of internet and the overall increased reliance on technology for information communication, dissemination and gathering have created an unparalleled mass of data. Sifting through this data is defining and will define in the foreseeable future a big part of contemporary computer science. Within this data, a growing proportion is given by personal information, which represents a unique opportunity to study human activities extensively and live. One important recurring challenge in many disciplines is the problem of people re-identification. In its broadest definition, re-identification is the problem of newly recognizing previously identified people, such as following an unknown person while he walks through many different surveillance cameras in different locations. Our goals is to review how several diverse disciplines define and meet this challenge, from person re-identification in video-surveillance to authorship attribution in text samples to distinguishing users based on their preferences of pictures. We further envision a situation where multidisciplinary solutions might be beneficial.
Keywords
people re-identification; video-surveillance; authorship attribution; computational aesthetics;
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