Abstract: A system for controlling a swarm that includes a plurality of autonomous objects may include a processing system and a controller. The processing system may compute the primitives to be applied to each pair of objects in the swarm, and may combine the primitives to generate higher-level primitives. The processing system may generate a graph of the computed primitives, and identify the cliques in the graph. The controller may cause the primitives to be applied between each pair of objects in the swarm, and cause each object to maximize its respective set of primitives so as to induce the desired group behavior. The controller may detect the desired group behavior in the swarm by monitoring the primitives computed by the processing system and the cliques identified by the processing system.

Abstract: A method and system for distributed tracking of multiple targets is disclosed. Multiple targets to be tracked by a plurality of trackers are detected in a frame. The motion state variable of each of the plurality of trackers is calculated in the E-step of a variational Expectation-Maximization algorithm. Further, the data association variable of each of the plurality of trackers is calculated in the M-step of the algorithm. Depending on the motion state variable and the data association variable, the multiple targets are tracked.

Abstract: A gaze estimation method and system, the method including capturing a video sequence of images with an image capturing system, designating at least one landmark in a head portion of the captured video sequence, fitting a virtual model of the head portion to the actual head portion in the captured video sequence, and determining the gaze estimation.

Abstract: An iris of an individual is imaged while illuminated with electromagnetic radiation having an illumination spectrum that is selected based on a color of the iris. The illumination spectrum/spectra is/are selected so that the resulting image will have a sufficient amount of detail of the iris as required for the application, such as identification of the individual. Alternatively, the iris can be imaged multiple times while illuminated by electromagnetic radiation of one of multiple different illumination spectra, and the best image or a combination of the images can be used for the application.

Abstract: A system for detecting and counting individuals in a stationary or moving crowd based on a digital or digitized image captured from a single camera. Initial information is assumed based on a foot-to-head plane homology, where a geometric construct is developed to best enclose image features with a high probability of being an individual within a crowd. These geometric constructs are then subjected to further probabilistic analysis to determine individuals. The vector track of each individual is determined to validate the determination of a group of features as individuals, thereby compensating for occlusion of an individual within any given frame image. A virtual gate is then employed to count the individuals moving past the virtual gate. Also, by weighting portions of the individual, events near the gate can be predicted.

Abstract: Methods and computer program readable medium for restoring an image. The methods include the steps of selecting one or more frames followed by determining the regions of interest so that blurring effect is determined in the regions of interest using various techniques. The regions of interest are then deblurred and one of the deblurred regions of interest is then blended with the frame resulting in a restored frame.

Abstract: A biometric identification system and method are provided. The system includes an image capture mechanism for capturing multiple images of a person's iris, a registration component for registering a portion of each image attributable to the iris, and a super-resolution processing component for producing a higher resolution image of the iris. The method includes capturing multiple images of a person's iris, registering a portion of each image attributable to the iris, and applying super-resolution processing to the images to produce a higher-resolution image of the iris.

Abstract: A method and system for distributed tracking of multiple targets is disclosed. Multiple targets to be tracked by a plurality of trackers are detected in a frame. The motion state variable of each of the plurality of trackers is calculated in the E-step of a variational Expectation-Maximization algorithm. Further, the data association variable of each of the plurality of trackers is calculated in the M-step of the algorithm. Depending on the motion state variable and the data association variable, the multiple targets are tracked.

Abstract: A technique is provided for performing a computer aided detection (CAD) analysis of a three-dimensional volume using a computer assisted detection and/or diagnosis (CAD) algorithms. The technique includes selecting one or more three-dimensional points of interest in a three-dimensional volume, forward projecting the one or more three-dimensional points of interest to determine a corresponding set of projection points within one or more two-dimensional projection images, and computing output values at the one or more three-dimensional points of interest based on one or more feature values or a CAD output at the corresponding set of projection points.

Abstract: A system for detecting and counting individuals in a stationary or moving crowd based on a digital or digitized image captured from a single camera. Initial information is assumed based on a foot-to-head plane homology, where a geometric construct is developed to best enclose image features with a high probability of being an individual within a crowd. These geometric constructs are then subjected to further probabilistic analysis to determine individuals. The vector track of each individual is determined to validate the determination of a group of features as individuals, thereby compensating for occlusion of an individual within any given frame image. A virtual gate is then employed to count the individuals moving past the virtual gate. Also, by weighting portions of the individual, events near the gate can be predicted.

Abstract: A method for performing a computer aided detection (CAD) analysis of images acquired from a multiple projection X-ray system is provided. The method comprises accessing the projection images from the multiple projection X-ray system and applying a plurality of reconstruction algorithms on the projection images to generate a plurality of reconstructed images. Then, the method comprises applying a CAD algorithm to the plurality of reconstructed images.