21Ct, Inc.

21St Century Technologies, Inc.

Thayne Richard Coffman

Jonathan William Mugan

Ronald Craig Larcom

Braxton Eastham Thomason

Eric John McDermid

A stochastic method and system for fast stereoscopic ranging includes selecting a pair of images for stereo processing, in which the pair of images are a frame pair and one of the image is a reference frame, seeding estimated values for a range metric at each pixel of the reference frame, initializing one or more search stage constraints, stochastically computing local influence for each valid pixel in the reference frame, aggregating local influences for each valid pixel in the reference frame, refining the estimated values for the range metric at each valid pixel in the reference frame based on the aggregated local influence, and post-processing range metric data. A valid pixel is a pixel in the reference frame that has a corresponding pixel in the other frame of the frame pair. The method repeats n iterations of the stochastically computing through the post-processing.

Method and system for fast dense stereoscopic ranging

Disclosed is a method for fusing interaction data, such as intelligence data, comprising, embodying collections of interaction data from different interaction data sources in interaction graphs, defining a plurality of mappings of identifiers to entities, associating each mapping with a fused interaction graph, and identifying an optimal mapping by evaluation of compatibility of identifier attributes, mutual information across interaction data sources, and/or fit with one or more behavior models. Edges in the fused graph can be collapsed. Also claimed are a computer system and a computer-readable medium for fusing interaction data.

Method and apparatus for fusion of multi-modal interaction data

Described herein are tracking algorithm modifications to handle occlusions when processing a video stream including multiple image frames. Specifically, system and methods for handling both partial and full occlusions while tracking moving and non-moving targets are described. The occlusion handling embodiments described herein may be appropriate for a visual tracking system with supplementary range information.

System and method for visually tracking with occlusions

A method, system, and computer program product for detecting and mapping activity occurring at and between devices on a computer network for utilization within an intrusion detection mechanism. An enhanced graph matching intrusion detection system (eGMIDS) utility executing on a control server provides data collection functions and data fusion techniques. The eGMIDS comprises multiple sensors and associated unique adaptors that are located at different remote devices of the network and utilized to detect specific types of activity occurring at the respective devices relevant to eGMIDS processing. The sensors convert the data into eGMIDS format and encapsulate the data in a special transmission packet that is transmitted to the control server. The eGMIDS utility converts the activity data within these packets into eGMIDS-usable format and then processes the converted data via a data fusion technique to generate a graphical representation of the network (devices) and the activity occurring at/amongst the various devices.

Enabling network intrusion detection by representing network activity in graphical form utilizing distributed data sensors to detect and transmit activity data

A method, system, and computer program product for enabling dynamic detection of anomalies occurring within an input graph representing a social network. More specifically, the invention provides an automated computer simulation technique that implements the combination of Social Network Analysis (SNA) and statistical pattern classification for detecting abnormal social patterns or events through the expanded use of SNA Metrics. The simulation technique further updates the result sets generated, based on observed occurrences, to dynamically determine what constitutes abnormal behavior, within the overall context of observed patterns of behavior.

Dynamic SNA-based anomaly detection using unsupervised learning

A method, system, and computer program product for utilizing a mapping of activity occurring at and between devices on a computer network to detect and prevent network intrusions. An enhanced graph matching intrusion detection system (eGMIDS) is provided that provides data collection functions, data fusion techniques, graph matching algorithms, and secondary and other search mechanisms. Threats are modeled as a set of entities and interrelations between the entities and sample threat patterns are stored within a database. The eGMIDS utility initiates a graph matching algorithm by which the threat patterns are compared within the generated activity graph via subgraph isomorphism. A multi-layered approach including a targeted secondary layer search following a match during a primary layer search is provided. Searches are tempered by attributes and constraints and the eGMIDS reduces the number of threat patterns searched by utilizing ontological generalization.

Growing community of inventors

Austin, TX, United States of America

Thayne Richard Coffman