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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2014
    • vol. 2, nº 7, september 2014
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2014
    • vol. 2, nº 7, september 2014
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    Analysis of Gait Pattern to Recognize the Human Activities

    Autor: 
    Prakash Gupta, Jay
    Dixit, Pushkar
    Singh, Nishant
    Bhaskar Aemwal, Vijay
    Fecha: 
    09/2014
    Palabra clave: 
    feature extraction; gait pattern; human computer interaction; activity recognition; video surveillance; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/9809
    DOI: 
    http://dx.doi.org/10.9781/ijimai.2014.271
    Dirección web: 
    https://www.ijimai.org/journal/node/670
    Open Access
    Resumen:
    Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activities through gait. Activity recognition through Gait is the process of identifying an activity by the manner in which they walk. The identification of human activities in a video, such as a person is walking, running, jumping, jogging etc are important activities in video surveillance. We contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that our method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the videos
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