research-article

Research on Children's Fall Detection by Characteristic Operator

Authors:

HuaiJun WangAuthors Info & Claims

ICAIP '17: Proceedings of the International Conference on Advances in Image Processing

Pages 1 - 5

https://doi.org/10.1145/3133264.3133268

Published: 25 August 2017 Publication History

Abstract

Aiming at the problem of abnormal behavior detection in kindergarten video surveillance, adetection algorithm based on feature operator is proposed. By analyzing and researching the behavior of young child in the video, the description method of the specific behavior of the children is defined, and two feature operators are defined as the representation of the behavioral character in the video. These features are used as the input of the SVM classifier, which trains the inputs and establishes the abnormal behavior detection model. The algorithm in this paper has a certain practical value and a good performance.

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Cited By

Wang GZhao JVan Kleek MShadbolt N(2022)Informing Age-Appropriate AI: Examining Principles and Practices of AI for ChildrenProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502057(1-29)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502057
Vijeikis RRaudonis VDervinis G(2021)Towards Automated Surveillance: A Review of Intelligent Video SurveillanceIntelligent Computing10.1007/978-3-030-80129-8_53(784-803)Online publication date: 6-Jul-2021
https://doi.org/10.1007/978-3-030-80129-8_53
Meddah KKedir Talha MBahoura MZairi H(2019)FPGA‐based system for heart rate monitoringIET Circuits, Devices & Systems10.1049/iet-cds.2018.520413:6(771-782)Online publication date: 30-Aug-2019
https://doi.org/10.1049/iet-cds.2018.5204

Index Terms

Research on Children's Fall Detection by Characteristic Operator
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Scene anomaly detection

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cover image ACM Other conferences

ICAIP '17: Proceedings of the International Conference on Advances in Image Processing

August 2017

223 pages

ISBN:9781450352956

DOI:10.1145/3133264

Copyright © 2017 ACM.

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Sultan Qaboos University: Sultan Qaboos University
USM: Universiti Sains Malaysia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 August 2017

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ICAIP 2017

ICAIP 2017: 2017 International Conference on Advances in Image Processing

August 25 - 27, 2017

Bangkok, Thailand

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Cited By

Wang GZhao JVan Kleek MShadbolt N(2022)Informing Age-Appropriate AI: Examining Principles and Practices of AI for ChildrenProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502057(1-29)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502057
Vijeikis RRaudonis VDervinis G(2021)Towards Automated Surveillance: A Review of Intelligent Video SurveillanceIntelligent Computing10.1007/978-3-030-80129-8_53(784-803)Online publication date: 6-Jul-2021
https://doi.org/10.1007/978-3-030-80129-8_53
Meddah KKedir Talha MBahoura MZairi H(2019)FPGA‐based system for heart rate monitoringIET Circuits, Devices & Systems10.1049/iet-cds.2018.520413:6(771-782)Online publication date: 30-Aug-2019
https://doi.org/10.1049/iet-cds.2018.5204

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