Re-identification with RGB-D Sensors
| Autor: | Marco Cristani, Vittorio Murino, Igor Barros Barbosa, Loris Bazzani, Alessio Del Bue |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
business.industry
Computer science Re-Identification rgb-d sensors Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Clothing Feature Extraction Re identification Constraint (information theory) Benchmark (computing) RGB color model Computer vision Artificial intelligence business Set (psychology) |
| Zdroj: | Computer Vision – ECCV 2012. Workshops and Demonstrations ISBN: 9783642338625 ECCV Workshops (1) |
| DOI: | 10.1007/978-3-642-33863-2_43 |
| Popis: | People re-identification is a fundamental operation for any multi-camera surveillance scenario. Until now, it has been performed by exploiting primarily appearance cues, hypothesizing that the individuals cannot change their clothes. In this paper, we relax this constraint by presenting a set of 3D soft-biometric cues, being insensitive to appearance variations, that are gathered using RGB-D technology. The joint use of these characteristics provides encouraging performances on a benchmark of 79 people, that have been captured in different days and with different clothing. This promotes a novel research direction for the re-identification community, supported also by the fact that a new brand of affordable RGB-D cameras have recently invaded the worldwide market. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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