People Search with Textual Queries about Clothing Appearance Attributes

Abstract: 

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.

Authors
Authors: 
PALA Federico, FUMERA Giorgio, SATTA Riccardo, ROLI Fabio
Publication Year
Publication Year: 
2014
Type

Type:

Appears in Collections
Appears in Collections: 
Institute for the Protection and Security of the Citizen
Science Areas
Keywords
JRC Institutes
Publisher
Publisher: 
Springer-verlag
ISBN
ISBN: 
978-1-4471-6295-7 (print),978-1-4471-6296-4 (eBook)
ISSN
ISSN: 
2191-6586 (print),2191-6594 (online)
URI
URI : 
Citation
Citation: 
Person Re-Identification p. 373-391 vol. 4205