Vision based human activity recognition : a review

Bux, Allah and Angelov, Plamen Parvanov and Habib, Zulfiqar (2016) Vision based human activity recognition : a review. In: Advances in Computational Intelligence Systems : Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing . Springer, pp. 341-371. ISBN 9783319465616

[thumbnail of WCCI2016ADDClustering]
PDF (WCCI2016ADDClustering)
WCCI2016ADDClustering.pdf - Accepted Version

Download (4MB)


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.

Item Type:
Contribution in Book/Report/Proceedings
?? computer vision human activity recognitionobjects segmentationfeature extractionaction recognitionreview ??
ID Code:
Deposited By:
Deposited On:
20 Sep 2016 09:26
Last Modified:
10 Jan 2024 00:42