AI in surveillance, inspection and security

Surveillance and inspection are core topics in most automation applications where objective and/or manual monitoring is not realistic. Surveillance normally refers to monitoring animal and people, where inspection mostly refers to monitoring objects in a production setup, e.g., on a conveyer belt. Typically, sensors capture data, which are then processed using AI algorithms. The captured data and the processed results can be highly sensitive and security is therefore a third key component to ensure the integrity of the applications.

At AAU we have a long tradition of research in AI within surveillance and inspection using especially video data - ranging from detecting abnormal behavior among pedestrians to classical machine vision research aimed at robotic solutions to handle man-made objects on production lines. 

Researchers

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    Thomas Moeslund

    Meet Thomas for coffee

    E-mail:
    tbm@create.aau.dk

     

    PROFESSOR

    DEPARTMENT of Architecture, Design and Media Technology

    GOOGLE SCHOLAR
    H-index: 44
    Citations: 13,700+

    RESEARCH INTERESTS
    Overall research interest is building intelligent systems that make sense out of data. Topics include: computer vision, AI, XAI, AI & Ethics, image analysis, deep learning, health science, human perception, machine learning, robotics, machine vision, surveillance, drones, human-robot-interaction, motion capture

    ”Understand & Explain. Curious how stuff works and how we can engineer solutions via algorithms. Explaining modern algorithms (based on neural networks) is an intriguing and necessary challenge requiring not only algorithmic insights, but also ethical understandings.”

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    Thomas Moeslund

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    Sergio Escalera

    Meet Sergio for coffee

    E-mail:
    seg@create.aau.dk

     

    DISTINGUISHED PROFESSOR

    DEPARTMENT of Architecture, Design, and Media Technology

    GOOGLE SCHOLAR
    H-index: 48
    Citations: 7,700+

    RESEARCH INTERESTS
    Automatic analysis of humans from visual and multi-modal data, with special interest in inclusive, transparent, and fair affective computing and people characterization in ehealth and welfare. Topics of interest related to ehealth and welfare: human behavior understanding, computer vision, data science, machine learning, artificial intelligence, deep learning, multimodal and multitask learning, human-computer/machine/robot-interaction, affective computing, fairness and explainability

    ”By providing intelligent systems with the ability to automatically characterize human behavior, we will allow artificial intelligence to boost empathy and adapt to the health and welfare needs of people in a transparent, inclusive and fair manner.”

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    Sergio Escalera

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    Mohsen Soltani

    Meet Mohsen for coffee

    Phone:
    +45 2184 7943

    E-mail:
    sms@et.aau.dk

     

    ASSOCIATE PROFESSOR

    DEPARTMENT of Energy Technology

    GOOGLE SCHOLAR
    H-index: 21
    Citations: 1,700+

    RESEARCH INTERESTS
    Estimation, Control, Fault Detection and Diagnosis, Optimization, Modeling, Marine and Offshore Renewable Energy, Wind Turbine, Wind Farm, Energy Island, Power Electronics, Microgrids

    ”We work to ensure that people have access to affordable, reliable, sustainable and modern energy. Our approach to reach this goal is to bridge between science and technology.”

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    Mohsen Soltani

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    Bin Yang

    Meet Yang for coffee

    Phone:
    +45 3169 5616

    E-mail:
    byang@cs.aau.dk

     

    PROFESSOR

    DEPARTMENT of Computer Science

    GOOGLE SCHOLAR
    H-index: 35
    Citations: 2,900+

    RESEARCH INTERESTS
    Machine learning, data mining, data management 

    ”My research focuses on inventing and designing new algorithms that enable data-driven solutions for addressing various societal challenges. Examples include time series outlier detection algorithms for identifying malfunctioning sensors, graph representation learning algorithms for designing new materials.”

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    Bin Yang

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    Anders La Cour-Hansen

    Meet Anders for coffee

    E-mail:
    alc@es.aau.dk

     

    ASSOCIATE PROFESSOR

    DEPARTMENT of Electronic Systems

    GOOGLE SCHOLAR
    H-index: 19
    Citations: 1,700+

    Learn more about
    Anders La Cour-Hansen