Computational Imaging for Human Activity Analysis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Computational imaging is an emerging discipline that integrates knowledge from electronics and sensors, optics, and computer science and signal processing. This chapter surveys recent trends in computational imaging and their potential for improving contactless human activity analysis. In particular, the focus is on low-level sensing of physiological signals via photoplethysmography and skin imaging, motion sensing through event-based cameras and coded exposure techniques, privacy-preserving computational camera design, and the emerging application of non-line-of-sight imaging. Key examples are presented to illustrate recent research, and highlight opportunities for future advancement in the field.

Original languageEnglish (US)
Title of host publicationIntelligent Systems Reference Library
PublisherSpringer Science and Business Media Deutschland GmbH
Pages165-184
Number of pages20
DOIs
StatePublished - 2021
Externally publishedYes

Publication series

NameIntelligent Systems Reference Library
Volume200
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

ASJC Scopus subject areas

  • Computer Science(all)
  • Information Systems and Management
  • Library and Information Sciences

Fingerprint Dive into the research topics of 'Computational Imaging for Human Activity Analysis'. Together they form a unique fingerprint.

Cite this