Person re-identification using part based hybrid descriptor

Title

Person re-identification using part based hybrid descriptor

Creator

Sathish P.K.; Balaji S.

Description

Real time person re-identification systems require robust descriptors for useful feature extraction. This paper focuses on a novel descriptor which can efficiently re-identify persons in varied views and change in illumination. The descriptors detect the features by dividing the person image into multiple parts. We use a combination of local and global feature descriptors to form a reliable descriptor. Performance evaluation is done on a benchmarking dataset. 2016 IEEE.

Source

Proceedings - 2016 2nd International Conference on Cognitive Computing and Information Processing, CCIP 2016

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Descriptor; Person re-identification; Video surveillance system; Weighted color histogram

Coverage

Sathish P.K., Computer Science and Engineering Department, Christ University, Bangalore, 560074, India; Balaji S., Centre for Emerging Technologies, Jain University, Karnataka, 562112, India

Rights

Restricted Access

Relation

ISBN: 978-150901025-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CCIP.2016.7802849

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011024025&doi=10.1109%2fCCIP.2016.7802849&partnerID=40&md5=d640879581075068711e31e350a2ec16