Person re-identification consists of searching for an individual of interest in video sequences acquired by a camera network, using an image of that individual as a query. Here we consider a related task, named appearance-based people search, which consists of searching images of individuals using a textual description of clothing appearance as a query, given by a Boolean combination of predefined attributes. People search can be useful in applications like forensic video analysis, where the query can be obtained from a eyewitness report. We propose a general method for implementing people search as an extension of a given reidentification system that uses any multiple part-multiple component appearance descriptor. To this aim, we chose a predefined set of attributes by taking into account the information provided by the original descriptor, transform such a descriptor into a dissimilarity one, and use the resulting dissimilarity values as input features for training attribute detectors.We experimentally evaluate our method on a benchmark re-identification data set.

SATTA Riccardo;  PALA Federico;  FUMERA Giorgio;  ROLI Fabio; 

2014-01-28

Springer-verlag

JRC81462

978-1-4471-6295-7 (print),    978-1-4471-6296-4,   

2191-6586 (print),    2191-6594 (online),   

https://publications.jrc.ec.europa.eu/repository/handle/JRC81462,   

10.1007/978-1-4471-6296-4,