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Research on Children's Fall Detection by Characteristic Operator

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

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  • (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
  • (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
  • (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

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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
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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

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    New York, NY, United States

    Publication History

    Published: 25 August 2017

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    Author Tags

    1. Abnormal behavior detection
    2. Feature operator
    3. Kids fall Detection
    4. SVM classifier

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    View all
    • (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
    • (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
    • (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

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