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Computer Vision Group (CV-CVC) PDF Print E-mail
 

Comprised of researchers from the Computer Vision Center (CVC) and Autonomous University of Barcelona (UAB). The main areas of research are:

  • Advanced Driver Assistance Systems

    The aim is to combine sensors and algorithms to understand the vehicle environment so that the driver can receive assistance or be warned of potential hazards. Vision is the most important sense employed for driving. Therefore, cameras are the most used sensor in the so-called advanced driving assistance systems (ADAS).

  • Robot Vision

    Algorithms for addressing the problem of acquiring spatial models of physical environments through mobile robots, with a focus on indoor mapping. The mapping problem is generally regarded as one of the most important problems in the pursuit of building truly autonomous mobile robots. Mapping unstructured, dynamic, or large-scale environments remains largely an open research problem.

  • Image Sequence Evaluation

    The study of object motion in image sequences allows multiples applications and involves a lot of difficulties. Specially if these objects are deformable ones like humans. Main research is focussed on topics such as: human motion detection (2D & 3D), tracking, motion understanding. Human detection aims to segment regions corresponding to humans from the rest of the image. Tracking aims to find correspondences between consecutive frames. Behaviour understanding involves action recognition and description.

 

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