Standard
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/ISSN › Conference contribution/Paper › peer-review
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). doi: 10.1007/978-3-319-46562-3_23
Author
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 -
