Versatile recognition using haar-like features for human sensing

Jun Nishimura, Tadahiro Kuroda

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter motivates our work toward a study on versatile recognition using Haar-like features for human sensing. Firstly, we discuss several potential target applications of our work and explain the signicance of context recognition. Then, we discuss on the characteristic constraints of a system comprising wireless sensor nodes. Furthermore, we mention the significance of smart sensing and introduce our approach. Based on these discussions and a literature survey, our work is outlined.

Original languageEnglish
Title of host publicationTechnologies for Smart Sensors and Sensor Fusion
PublisherCRC Press
Pages389-421
Number of pages33
ISBN (Electronic)9781466595514
ISBN (Print)9781466595507
DOIs
Publication statusPublished - 2017 Jan 1

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Sensor nodes
sensors

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)

Cite this

Nishimura, J., & Kuroda, T. (2017). Versatile recognition using haar-like features for human sensing. In Technologies for Smart Sensors and Sensor Fusion (pp. 389-421). CRC Press. https://doi.org/10.1201/b16746

Versatile recognition using haar-like features for human sensing. / Nishimura, Jun; Kuroda, Tadahiro.

Technologies for Smart Sensors and Sensor Fusion. CRC Press, 2017. p. 389-421.

Research output: Chapter in Book/Report/Conference proceedingChapter

Nishimura, J & Kuroda, T 2017, Versatile recognition using haar-like features for human sensing. in Technologies for Smart Sensors and Sensor Fusion. CRC Press, pp. 389-421. https://doi.org/10.1201/b16746
Nishimura J, Kuroda T. Versatile recognition using haar-like features for human sensing. In Technologies for Smart Sensors and Sensor Fusion. CRC Press. 2017. p. 389-421 https://doi.org/10.1201/b16746
Nishimura, Jun ; Kuroda, Tadahiro. / Versatile recognition using haar-like features for human sensing. Technologies for Smart Sensors and Sensor Fusion. CRC Press, 2017. pp. 389-421
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