Behaviours in video

Huiyu Zhou, Y. Yuan, Eliza Y Du, Pingkun Yan

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Abstract

With a significant increment of the number of digital cameras used for various purposes, there is a demanding call for advanced video analysis techniques that can be used to systematically interpret and understand the semantics of video contents, which have been recorded in security surveillance, intelligent transportation, health care, video retrieving and summarization. Understanding and interpreting human behaviours based on video analysis have observed competitive challenges due to non-rigid human motion, self and mutual occlusions, and changes of lighting conditions. To solve these problems, advanced image and signal processing technologies such as neural network, fuzzy logic, probabilistic estimation theory and statistical learning have been overwhelmingly investigated.
Original languageEnglish
Pages (from-to)1-2
Number of pages2
JournalNeurocomputing
Volume100
Issue number1
Early online date08 May 2012
DOIs
Publication statusPublished - 16 Jan 2013

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Computer Science Applications
  • Artificial Intelligence

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    Zhou, H., Yuan, Y., Du, E. Y., & Yan, P. (2013). Behaviours in video. Neurocomputing, 100(1), 1-2. https://doi.org/10.1016/j.neucom.2012.04.018