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Vision based human activity recognition: a review

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Vision based human activity recognition : a review. / Bux, Allah; Angelov, Plamen Parvanov; Habib, Zulfiqar.

Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. ed. / Plamen Angelov; Alexander Gegov; Chrisina Jayne; Qiang Shen. Springer, 2016. p. 341-371 (Advances in Intelligent Systems and Computing; Vol. 513).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Bux, A, Angelov, PP & Habib, Z 2016, Vision based human activity recognition: a review. in P Angelov, A Gegov, C Jayne & Q Shen (eds), 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, vol. 513, Springer, pp. 341-371. https://doi.org/10.1007/978-3-319-46562-3_23

APA

Bux, A., Angelov, P. P., & Habib, Z. (2016). Vision based human activity recognition: a review. In P. Angelov, A. Gegov, C. Jayne, & Q. Shen (Eds.), Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK (pp. 341-371). (Advances in Intelligent Systems and Computing; Vol. 513). Springer. https://doi.org/10.1007/978-3-319-46562-3_23

Vancouver

Bux A, Angelov PP, Habib Z. Vision based human activity recognition: a review. In Angelov P, Gegov A, Jayne C, Shen Q, editors, Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Springer. 2016. p. 341-371. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-46562-3_23

Author

Bux, Allah ; Angelov, Plamen Parvanov ; Habib, Zulfiqar. / Vision based human activity recognition : a review. Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. editor / Plamen Angelov ; Alexander Gegov ; Chrisina Jayne ; Qiang Shen. Springer, 2016. pp. 341-371 (Advances in Intelligent Systems and Computing).

Bibtex

@inproceedings{720b169a24c64f15868c04e0c3c700cf,
title = "Vision based human activity recognition: a review",
abstract = "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.",
keywords = "Computer vision, Human activity recognition, Objects segmentation, Feature extraction, Action recognition, Review",
author = "Allah Bux and Angelov, {Plamen Parvanov} and Zulfiqar Habib",
year = "2016",
month = sep
day = "7",
doi = "10.1007/978-3-319-46562-3_23",
language = "English",
isbn = "9783319465616",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "341--371",
editor = "Plamen Angelov and Gegov, {Alexander } and Chrisina Jayne and Qiang Shen",
booktitle = "Advances in Computational Intelligence Systems",

}

RIS

TY - GEN

T1 - Vision based human activity recognition

T2 - a review

AU - Bux, Allah

AU - Angelov, Plamen Parvanov

AU - Habib, Zulfiqar

PY - 2016/9/7

Y1 - 2016/9/7

N2 - 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.

AB - 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.

KW - Computer vision

KW - Human activity recognition

KW - Objects segmentation

KW - Feature extraction

KW - Action recognition

KW - Review

U2 - 10.1007/978-3-319-46562-3_23

DO - 10.1007/978-3-319-46562-3_23

M3 - Conference contribution/Paper

SN - 9783319465616

T3 - Advances in Intelligent Systems and Computing

SP - 341

EP - 371

BT - Advances in Computational Intelligence Systems

A2 - Angelov, Plamen

A2 - Gegov, Alexander

A2 - Jayne, Chrisina

A2 - Shen, Qiang

PB - Springer

ER -