Person re-identification using part based hybrid descriptor
subject: Descriptor; Person re-identification; Video surveillance system; Weighted color histogram
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.
creator: Sathish P.K.; Balaji S.
source: Proceedings - 2016 2nd International Conference on Cognitive Computing and Information Processing, CCIP 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2016-01-01
rights: Restricted Access
relation: ISBN: 978-150901025-7
format: Online
language: English
type: Conference paper
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