Horizontal Pyramid Matching for Person Re-Identification
University of Illinois Urbana-Champaign · Cornell University · +2 more institutions
Abstract
Despite the remarkable progress in person re-identification (Re-ID), such approaches still suffer from the failure cases where the discriminative body parts are missing. To mitigate this type of failure, we propose a simple yet effective Horizontal Pyramid Matching (HPM) approach to fully exploit various partial information of a given person, so that correct person candidates can be identified even if some key parts are missing. With HPM, we make the following contributions to produce more robust feature representations for the Re-ID task: 1) we learn to classify using partial feature representations at different horizontal pyramid scales, which successfully enhance the discriminative capabilities of various…
Citation impact
- FWCI
- 36.50
- Percentile
- 100%
- References
- 53
Authors
8Topics & keywords
- Discriminative model
- Pooling
- Pyramid (geometry)
- Exploit
- Computer science
- Artificial intelligence
- Matching (statistics)
- Feature (linguistics)
- Reduced inequalities