Using Temporal Covariance of Motion and Geometric Features via Boosting for Human Fall Detection.

Ali, Syed Farooq; Khan, Reamsha; Mahmood, Arif; Hassan, Malik Tahir; Jeon, And Moongu

Ali, Syed Farooq; Khan, Reamsha; Mahmood, Arif; Hassan, Malik Tahir; Jeon, And Moongu.

Afiliación

Ali SF; Department of Software Engineering, University of Management and Technology, UMT Road, C-II Johar Town, Lahore 54000, Pakistan. farooq.ali@umt.edu.pk.
Khan R; Department of Software Engineering, University of Management and Technology, UMT Road, C-II Johar Town, Lahore 54000, Pakistan. reamshakhan1122@gmail.com.
Mahmood A; Department of Computer Science, Information Technology University (ITU), 346-B, Ferozepur Road, Lahore, Punjab 54000, Pakistan. arif.mahmood@itu.edu.pk.
Hassan MT; Department of Software Engineering, University of Management and Technology, UMT Road, C-II Johar Town, Lahore 54000, Pakistan. tahir.hassan@umt.edu.pk.
Jeon AM; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. mgjeon@gist.ac.kr.

Sensors (Basel) ; 18(6)2018 Jun 12.

Article en En | MEDLINE | ID: mdl-29895812

Asunto(s)

Accidentes por Caídas/prevención & control; Procesamiento de Imagen Asistido por Computador/métodos; Área Bajo la Curva; Humanos; Curva ROC; Máquina de Vectores de Soporte; Grabación en Video; Caminata

Palabras clave

health and well-being; human fall detection; intelligent surveillance systems; safety and security

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Accidentes por Caídas / Procesamiento de Imagen Asistido por Computador Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: Pakistán

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