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Benchmarking for Person Re-identification

Name: Benchmarking for Person Re-identification
Keywords: Re-identification; Benchmarking

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2014 Italy Publisher:Springer London

Authors: VEZZANI, Roberto; CUCCHIARA, Rita;

doi: 10.1007/978-1-4471-6296-4_16

handle: 11380/1020113

Benchmarking for Person Re-identification

- Summary
- Subjects
- Metrics

Abstract

The evaluation of computer vision and pattern recognition systems is usually a burdensome and time-consuming activity. In this chapter all the benchmarks publicly available for re-identification will be reviewed and compared, starting from the ancestors VIPeR and Caviar to the most recent datasets for 3D modeling such as SARC3d (with calibrated cameras) and RGBD-ID (with range sensors). Specific requirements and constraints are highlighted and reported for each of the described collections. In addition, details on the metrics that are mostly used to test and evaluate the re-identification systems are provided.

Country

Italy

Related Organizations

University of Modena and Reggio Emilia
Italy
SofTech (Italy)
Italy

Keywords

Re-identification; Benchmarking

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average