Projects per year
Abstract
Person re-identification, i.e., recognizing a single person across spatially disjoint cameras, is an important task in visual surveillance. Existing approaches either try to find a suitable description of the appearance or learn a discriminative model. Since these different representational strategies capture a large extent of complementary information we propose to combine both approaches. First, given a specific query, we rank all samples according to a feature-based similarity, where appearance is modeled by a set of region covariance descriptors. Next, a discriminative model is learned using boosting for feature selection, which provides a more specific classifier. The proposed approach is demonstrated on two datasets, where we show that the combination of a generic descriptive statistical model and a discriminatively learned feature-based model attains considerably better results than the individual models alone. In addition, we give a comparison to the state-of-the-art on a publicly available benchmark dataset.
Original language | English |
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Title of host publication | Proceedings of the Scandinavian Conference on Image Analysis (SCIA) |
Publisher | . |
Pages | 91-102 |
Publication status | Published - 2011 |
Event | Scandinavian Conference on Image Analysis - Ystad Saltsjöbad, Sweden Duration: 23 May 2011 → 27 May 2011 |
Conference
Conference | Scandinavian Conference on Image Analysis |
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Country/Territory | Sweden |
City | Ystad Saltsjöbad |
Period | 23/05/11 → 27/05/11 |
Fields of Expertise
- Information, Communication & Computing
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Dive into the research topics of 'Person Re-Identification by Descriptive and Discriminative Classification'. Together they form a unique fingerprint.Projects
- 1 Finished
Activities
- 1 Poster presentation
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Poster Presentation: Person Re-Identification by Descriptive and Discriminative Classification
Martin Hirzer (Speaker)
23 May 2011 → 27 May 2011Activity: Talk or presentation › Poster presentation › Science to science