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ERC

CV-SUPER Report Summary

Project ID: 307432
Funded under: FP7-IDEAS-ERC
Country: Germany

Mid-Term Report Summary - CV-SUPER (Computer Vision for Scene Understanding from a first-person Perspective)

The goal of CV-SUPER is to create the technology to perform dynamic visual scene understanding from the perspective of a moving human observer. Briefly stated, we want to enable computers to see and understand what humans see when they navigate their way through busy inner-city locations. Our target scenario is dynamic visual scene understanding in public spaces, such as pedestrian zones, shopping malls, or other locations primarily designed for humans. CV-SUPER will develop computer vision algorithms that can observe the people populating those spaces, interpret and understand their actions and their interactions with other people and inanimate objects, and from this understanding derive predictions of their future behaviors within the next few seconds.

In order to reach this ambitious goal, the project focuses on addressing several principled limitations of current dynamic scene understanding approaches. Within the first half of the project, we have already developed novel and scalable approaches for detecting and tracking people and analyzing their interactions; for tracking generic unknown objects; and for inferring the semantic properties of the observed environment. Those components will play an important role for the creation of technical systems that may one day assist humans in their daily lives within busy public spaces, e.g., in the form of personal assistance devices for elderly or visually impaired people or in the form of future generations of mobile service robots and intelligent vehicles.

Reported by

RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Germany
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