Title
Re-Identifying People In The Wild
Abstract
People re-identification in uncontrolled scenarios is a difficult task since people appearance may significantly vary along time due to changes in illumination, changes in the person pose or the presence of undesired objects in the scene. In order to cope with this temporal variability in the person appearance, we introduce the concept of Bags of Appearances (BoA) to describe each person. A BoA is a container of color features that fully represents a person by collecting all their different appearances along time. Matching of bags is performed in a probabilistic framework by accumulating the probability of matching for all of the elements of each bag. Experiments have been conducted in a real shop where clients were re-identified at the entrance and exit. Results improve state-of-the art methods and confirm that our proposal successfully copes with rough changes in the people appearance.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638065
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
Re-Identification, Appearance Descriptor, Knn, Kinect
Computer vision,Pattern recognition,Image matching,Computer science,Feature extraction,Artificial intelligence,Probabilistic framework
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.36
References 
Authors
15
4
Name
Order
Citations
PageRank
J. Oliver1234.77
Alberto Albiol225918.99
Antonio Albiol316113.49
Jose M. Mossi4123.40