Attribute-Based Person Retrieval in Multi-Camera Networks
Abstract
Attribute-based person retrieval searches for persons using textual descriptions of their visual appearance. This thesis presents a deep learning approach for such retrieval in video surveillance and smart city scenarios. It introduces methods for attribute recognition in images and videos, the UPAR dataset, specialized evaluation metrics, and an end-to-end pipeline from camera video to search results.
Fields of Study & Subjects
Video Surveillance and Tracking Methods
Advanced Image and Video Retrieval Techniques
Face recognition and analysis
Publication details
- Journal / source
- Repository KITopen (Karlsruhe Institute of Technology)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Thesis