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Vision based human activity recognition: a review

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Publication date7/09/2016
Host publicationAdvances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK
EditorsPlamen Angelov, Alexander Gegov, Chrisina Jayne, Qiang Shen
Number of pages30
ISBN (Electronic)9783319465623
ISBN (Print)9783319465616
<mark>Original language</mark>English

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Human activity recognition (HAR) is an important research area in computer vision due to its vast range of applications. Specifically, the past decade has witnessed enormous growth in its applications, such as Human Computer Interaction, intelligent video surveillance, ambient assisted living, entertainment, human-robot interaction, and intelligent transportation systems. This review paper provides a comprehensive state-of-the-art survey of different phases of HAR. Techniques related to segmentation of the image into physical objects, feature extraction, and activity classification are thoroughly reviewed and compared. Finally, the paper is concluded with research challenges and future directions.