TY - CHAP
T1 - Computational Imaging for Human Activity Analysis
AU - Jayasuriya, Suren
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85103295823&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85103295823&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-68590-4_6
DO - 10.1007/978-3-030-68590-4_6
M3 - Chapter
AN - SCOPUS:85103295823
T3 - Intelligent Systems Reference Library
SP - 165
EP - 184
BT - Intelligent Systems Reference Library
PB - Springer Science and Business Media Deutschland GmbH
ER -