Work

Dynamic Matching of Local Features for Re-Identification of Pedestrians

Year: 2020

Type: conference-paper

Source: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Authors: Seokhyun Ahn, Nam Ik Cho

Institution: Seoul National University

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3129286925

FWCI:

Cites: 62

Cited by:

Related to: 10