Machine Recognition of Human Activities: A Survey

University of Maryland, College Park

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Abstract

The past decade has witnessed a rapid proliferation of video cameras in all walks of life and has resulted in a tremendous explosion of video content. Several applications such as content-based video annotation and retrieval, highlight extraction and video summarization require recognition of the activities occurring in the video. The analysis of human activities in videos is an area with increasingly important consequences from security and surveillance to entertainment and personal archiving. Several challenges at various levels of processing-robustness against errors in low-level processing, view and rate-invariant representations at midlevel processing and semantic representation of human activities at…

Citation impact

1,332
total citations
FWCI
79.14
Percentile
100%
References
181
Citations per year

Authors

4

Topics & keywords

Keywords
  • Computer science
  • Automatic summarization
  • Robustness (evolution)
  • Artificial intelligence
  • Video content analysis
  • Activity recognition
  • Video processing
  • Machine learning
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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