Video-based face recognition

Anirudh Nanduri; Jingxiao Zheng; Rama Chellappa

doi:10.1007/978-3-031-43567-6_9

Video-based face recognition

Anirudh Nanduri, Jingxiao Zheng, Rama Chellappa

Whiting School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Video-based face recognition is an active research topic because of a wide range of applications including visual surveillance, access control, video content analysis, etc. Compared to still face recognition, video-based face recognition is more challenging due to a much larger amount of data to be processed and significant intra/inter-class variations caused by motion blur, low video quality, occlusion, frequent scene changes, and unconstrained acquisition conditions.

Original language	English (US)
Title of host publication	Handbook of Face Recognition
Publisher	Springer International Publishing
Pages	269-299
Number of pages	31
ISBN (Electronic)	9783031435676
ISBN (Print)	9783031435669
DOIs	https://doi.org/10.1007/978-3-031-43567-6_9
State	Published - Dec 29 2023

ASJC Scopus subject areas

General Computer Science
General Mathematics
General Social Sciences

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10.1007/978-3-031-43567-6_9

Cite this

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abstract = "Video-based face recognition is an active research topic because of a wide range of applications including visual surveillance, access control, video content analysis, etc. Compared to still face recognition, video-based face recognition is more challenging due to a much larger amount of data to be processed and significant intra/inter-class variations caused by motion blur, low video quality, occlusion, frequent scene changes, and unconstrained acquisition conditions.",

author = "Anirudh Nanduri and Jingxiao Zheng and Rama Chellappa",

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Video-based face recognition

Abstract

ASJC Scopus subject areas

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