Traditional methods for image scene interpretation and understanding are based mainly on such single-threaded procedural paradigms as hypothesize-and-test or syntactic parsing. As a result, these systems are unable to carry out tasks that require concurrent hypothesis testing.This book explores a method for symbolically interpreting images based upon a parallel implementation of a network-of-frames suggested, for example, by Minsky (1975), to describe intelligent processing. The system has been implemented in an object-oriented environment in the logic programming language Parlog++ and includes the propagation of uncertainty through each frame using Baldwin's (1986) formulation. The system is tested with several scenarios of increasing complexity, culminating with legal interpretation of traffic intersection images.
A recent history of image interpretation; foundations; architecture of SOO-PIN; simple scenarios; interpretation of traffic scenes; uncertainty; velocity; runtime results.
Fischer Andreas, FISCHER ANDREAS, Andreas Fischer, Marcus Liwicki, Rolf (Jurg) Ingold, Switzerland) Fischer, Andreas (Univ Of Fribourg, Switzerland) Liwicki, Marcus (Univ Of Fribourg, Switzerland) Ingold, Rolf (Jurg) (Univ Of Fribourg
Stauffer Michael, STAUFFER MICHAEL, Michael Stauffer, Andreas Fischer, Kaspar Riesen, Switzerland) Stauffer, Michael (Univ Of Applied Sciences & Arts Northwestern, Switzerland) Fischer, Andreas (Univ Of Fribourg, Switzerland) Riesen, Kaspar (Univ Of Bern, Switzerland & Univ Of Applied Sciences & Arts Northwestern
Plamondon Rejean, PLAMONDON REJEAN, Rejean Plamondon, Angelo Marcelli, Miguel Angel Ferrer-ballester, Canada) Plamondon, Rejean (Ecole Polytechnique De Montreal, Italy) Marcelli, Angelo (Univ Di Salerno, Spain) Ferrer-ballester, Miguel Angel (Univ De Las Palmas De Gran Canaria
Last Mark, LAST MARK, Mark Last, Abraham Kandel, Horst Bunke, Israel) Last, Mark (Ben-gurion Univ Of The Negev, Usa) Kandel, Abraham (Univ Of South Florida, Horst (-) Bunke