Video-surveillance

To ensure the security of people and places, surveillance cameras are deployed everywhere, leading to a strong demand for systems capable of analyzing the generated videos. Our work is geared towards the detection, tracking and recognition of persons and vehicles, and the analysis of scenes in order to detect events or behaviors relevant to surveillance (usual vehicle trajectories, abandoned luggage, etc.). In line with this work, we offer a training course in the area of intelligent video-surveillance to the general public 

Related technology: Tracker of people and vehicles from PTZ cameras.

 

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Recent news

  • CRIM Blog - Deep learning applied to graphs
    16/10/2018

    An article by Jade Guisiano, data science intern at CRIM.

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Upcoming event

  • ICTAC 2018
    19 October 2018 0:00
    Stellenbosch, Afrique du Sud
    CRIM will present a paper at the 15th International Colloquium on the Theoretical Aspects of Computing to take place 16-19 October 2018 in Stellenbosch, South Africa.
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Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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