|Name||Context Aware Vision using Image-based Active Recognition|
The main objective is to develop the theory of context-aware visual recognition systems. We will implement the theory in a complete closed-loop vision system, and apply it to two applications (city street surveillance and customer behaviour analysis). To achieve these objectives, we will develop new feature grouping, attention and appearance-based recognition processes. This will also require development of new techniques for acquiring, representing and using visual context and situation knowledge.
The work developed consisted mainly in two main areas:
Computer and Robot Vision Lab (VisLab)
|Project Partners||University of Edimburgh (UK), INRIA/INPG (F)|
Context Aware Vision using Image-based Active Recognition
 V. J. Traver, Alexandre Bernardino, Plinio Moreno, José Santos-Victor, "Appearance-based object detection in space-variant images: a multi-model approach", Proc. ICIAR - International Conference on Image Analysis and Recognition, Porto, Portugal, 2004 - PDF