Abstract: A system providing a real-time probabilistic prediction mechanism is described herein that is adapted to the address probabilistic implementations. The described mechanism provides a better balance between the tradeoffs of accuracy versus computational resources than the prior art, which makes it suitable for real-time applications, and in some cases offers a simpler path to implementation as well. In one exemplary approach, the real-time probabilistic prediction mechanism is implemented as a system for real-time resource management.

Abstract: Object detection in an image using an image processing approach in which the image is updated based on an energy function. In one aspect, the exemplary image update process attempts to homogenize each region by associating each pixel with a particular region such that the total level of energy for the image based on the pixel located in that region is minimized with respect to the energy function. For example, the method of object detection in an image having a plurality of pixels by image segmentation includes dividing the image into a plurality of regions; assigning each pixel to one of the plurality of regions based on a characteristic; performing an energy reduction on the image based on a region reassignment of at least one pixel; and producing an output image based on the energy reduction.

Abstract: A system providing a real-time probabilistic prediction mechanism is described herein that is adapted to the address probabilistic implementations. The described mechanism provides a better balance between the tradeoffs of accuracy versus computational resources than the prior art, which makes it suitable for real-time applications, and in some cases offers a simpler path to implementation as well. In one exemplary approach, the real-time probabilistic prediction mechanism is implemented as a system for real-time resource management.

Abstract: A system for determining a probability of interception by an interceptor of an object to be intercepted is disclosed herein. The system includes means for propagating a kinematic state of the object to be intercepted; means for determining a plurality of probabilities of intercept; means for determining whether an intercept is feasible and creating a set of probabilities of successful intercept for each probability of intercept; and means for determining the mean and variance of probability of successful intercept based on the set of probabilities of successful intercept.

Abstract: A method for determining a probability of damage by an object to be evaluated, including propagating a kinematic state of the object to be evaluated; determining a plurality of probabilities of damage; determining whether each probability of damage is feasible and creating a set of probabilities of feasible damage for each probability of damage; and determining the mean and variance of probability of feasible damage based on the set of probabilities of feasible damage. A system and apparatus for performing the method is also disclosed.

Abstract: Object detection in an image using an image processing approach in which the image is updated based on an energy function. In one aspect, the exemplary image update process attempts to homogenize each region by associating each pixel with a particular region such that the total level of energy for the image based on the pixel located in that region is minimized with respect to the energy function. For example, the method of object detection in an image having a plurality of pixels by image segmentation includes dividing the image into a plurality of regions; assigning each pixel to one of the plurality of regions based on a characteristic; performing an energy reduction on the image based on a region reassignment of at least one pixel; and producing an output image based on the energy reduction.