Human action recognition

Xinyu Xu, Baoxin Li

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Being able to recognize human activities in video is a critical capability of an intelligent vision system in many applications including video surveillance. On this task, human vision still outperforms any existing automatic techniques. Humans tend to describe, remember, perform, and compare an action as a sequence of key poses of the body. Most of the existing vision techniques attempt to mimic this to a certain degree, explicitly or implicitly, by modeling and classifying human actions based on key poses and their orders. Unfortunately, such techniques typically rely on sophisticated feature extraction (e.g., explicit detection and tracking of body parts, or doing so implicitly by complex representation and detection of the body motion through high-dimensional spatiotemporal features), which is a challenging task on its own especially considering the wide variability of the acquisition condition.

Original languageEnglish (US)
Title of host publicationIntelligent Video Surveillance
Subtitle of host publicationSystems and Technology
PublisherCRC Press
Pages225-250
Number of pages26
ISBN (Electronic)9781439813300
ISBN (Print)9781439813287
StatePublished - Jan 1 2009

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)
  • Engineering(all)
  • Social Sciences(all)

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  • Cite this

    Xu, X., & Li, B. (2009). Human action recognition. In Intelligent Video Surveillance: Systems and Technology (pp. 225-250). CRC Press.