| Title | People search with textual queries about clothing appearance attributes |
| Publication Type | Book Chapter |
| Year of Publication | 2014 |
| Authors | Satta, R, Pala, F, Fumera, G, Roli, F |
| Editor | Gong, S, Cristani, M, Yan, S, Loy, CChange |
| Book Title | Person Re‐Identification, Advances in Computer Vision and Pattern Recognition |
| Publisher | Springer |
| ISBN Number | 978-1-4471-6295-7 |
| Abstract | Person re-identification consists of searching for an individual of interest in video sequences acquired by a camera network, using animage of that individual as a query. Here we consider a related task, named people search with textual queries, which consists of searching images of individuals that match a textual description of clothing appearance, 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 any given re-identification system that uses any multiple part-multiple component appearance descriptor. In our method the same descriptor of the re-identification system at hand is used, and attributes are chosen by taking into account the information it provides. The original descriptor is then transformed into a dissimilarity one. Attribute detectors are finally constructed as supervised classifiers, using dissimilarity descriptors as the input feature vectors. We experimentally evaluate our method on a benchmark re-identification data set.
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| URL | http://www.springer.com/computer/image+processing/book/978-1-4471-6295-7 |
| Citation Key | 1468 |
Satta_BookChapterREID2013.pdf
