Person Re-Identification
Re-identification offers a useful tool for non-invasive biometric validation, surveillance, and human-robot interaction in a broad range of applications from crowd traffic management to personalised healthcare. This comprehensive volume is the first work of its kind dedicated to addressing the chall...
| Published in: | Springer eBooks |
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| Corporate Author: | |
| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
2014.
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| Series: | Advances in Computer Vision and Pattern Recognition,
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1007/978-1-4471-6296-4 Перейти в каталог НБ ТГУ |
Table of Contents:
- The Re-Identification Challenge
- Part I: Features and Representations
- Discriminative Image Descriptors for Person Re-Identification
- SDALF
- Re-Identification by Covariance Descriptors
- Attributes-Based Re-Identification
- Person Re-Identification by Attribute-Assisted Clothes Appearance
- Person Re-Identification by Articulated Appearance Matching
- One-Shot Person Re-Identification with a Consumer Depth Camera
- Group Association
- Evaluating Feature Importance for Re-Identification
- Part II: Matching and Distance Metric
- Learning Appearance Transfer for Person Re-Identification
- Mahalanobis Distance Learning for Person Re-Identification
- Dictionary-Based Domain Adaptation Methods for the Re-Identification of Faces
- From Re-Identification to Identity Inference
- Re-Identification for Improved People Tracking
- Part III: Evaluation and Application
- Benchmarking for Person Re-Identification
- Person Re-Identification
- People Search with Textual Queries about Clothing Appearance Attributes
- Large Scale Camera Topology Mapping
- Scalable Multi-Camera Tracking in a Metropolis.