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Content Provider | IEEE Xplore Digital Library |
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Author | Bedagkar-Gala, A. Shah, S.K. |
Copyright Year | 2011 |
Description | Author affiliation: University of Houston, 4800 Calhoun Rd, Tx-77204, USA (Bedagkar-Gala, A.; Shah, S.K.) |
Abstract | In this paper, we address the problem of multiple person re-identification in the absence of calibration data or prior knowledge about the geospatial location of cameras. Multiple person re-identification is a open set matching problem with a dynamically evolving gallery and probe set. We present a part-based spatio-temporal model that learns a person's characteristic appearance as well as it's variations over time. The model is based on 2 distinct color features that capture the distribution of chromatic content and generates a signature of representative colors from a person's appearance. The model implicitly retains the meaningful variations while discarding the repetitive and noisy information and outliers. Re-identification is established based on solving a linear assignment problem in order to find a bijection that minimizes the total assignment cost between the gallery and probe pairs. Open and closed set re-identification is tested on 17 videos collected with 9 non-overlapping cameras spanning outdoor and indoor areas, with 25 subjects under observation. A false match rejection scheme based on the developed appearance model is also proposed. |
Starting Page | 1721 |
Ending Page | 1728 |
File Size | 2520441 |
Page Count | 8 |
File Format | |
ISBN | 9781467300629 |
e-ISBN | 9781467300636 |
DOI | 10.1109/ICCVW.2011.6130457 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-11-06 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Histograms Image color analysis Color Cameras Feature extraction Active appearance model Probes |
Content Type | Text |
Resource Type | Article |
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