Hrl Laboratories, LLC

Matthew S Keegan

Tsai-Ching Lu

Kang-Yu Ni

Deepak Khosla

Karim El Defrawy

Kevin R Martin

Ryan F Compton

Michael D Howard

Shankar R Rao

David J Huber

Lei Zhang

Gavin D Holland

Craig A Lee

Darrel J VanBuer

Ian A Maxon

Sofia S V Apreleva

A system and method for low power surveillance. The system receives a series of frames from a camera, each frame having a background and a foreground. A background template is generated. Thereafter, the system receives a new image frame of the scene, the new image frame having a background and a foreground. Potential regions of interest (ROI) are detected in the new image frame. Initial region descriptors are determined in the potential ROI in the foreground. The initial region descriptors are segmented to generate a segmented region. Region descriptors are re-determined from the segmented region. A contiguous sparse foreground is determined from the re-determined region descriptors, the contiguous sparse foreground being a contiguous ROI. The ROI is reconstructed using foveated compressive sensing to generate an image of an interesting object. Finally, the interesting object image is combined with the background template to reconstruct the foreground.

Low power surveillance system

Described is a system for event prediction on microblogs. In operation, the system receives a social media post stream from a social network to generate and maintain a social network database and an audit trail database. New social media posts are filtered to determine if the new social media posts are related to a possible future event. The new social media posts are compared against the social network database and audit trail database to provide a quality score, the quality score representing a likelihood that at least one of the new social media posts is a true prediction of a future event. If the quality score is determined to be true, the detection is published as a true prediction of a future event.

System and method for using network data to improve event predictions

Described is system for inferring networks service dependencies. The system detects a set of network services from a set of network data. The system additionally detects a set of network service profiles in the set of network data. A network switching topology of the network is then determined. Finally, network service dependencies are inferred by analyzing a dependency structure of the network using at least one of the set of network services, the set of network service profiles, and the network topology.

Inferring network services and their dependencies from header and flow data and the switching topology

Described is a system for predicting temporal evolution of contagions on multilayer networks. The system determines a functional epidemic threshold for disappearance of a contagion on a multilayer network model according to a score value s=&#x3bb;&#x3b2;/&#x3b4;, where &#x3bb; corresponds to an adjacency matrix of the first layer of the multilayer network model, &#x3b2; represents a spread rate of the contagion, and &#x3b4; represents a recovery rate. A prediction of future behavior of the contagion on the multilayer network model using the functional epidemic threshold is output and utilized to inform decisions regarding connectivity within a multilayer network in order to prevent spread of the contagion on a multilayer network.

Method for determining contagion dynamics on a multilayer network

Described is a system for determining reliability of nodes in a mobile wireless network. The system is operable for receiving an Exploitation Network (Xnet) database. The Xnet database has an Xnet structure formed of a physical node layer (NetTopo), a network dependent (NetDep) layer, and an application dependent (AppDep) layer. The NetTopo layer includes NetTopo graphs reflecting connectivity between the nodes. The NetDep layer includes NetDep graphs reflecting connectivity dependencies amongst the nodes, and the AppDep layer includes Appdep graphs reflecting software application dependencies amongst the nodes. An Xnet Analytics Engine is run that monitors and evaluates reliability of each node in the mobile wireless network to provide a reliability estimate of each node.

System and method for determining reliability of nodes in mobile wireless network

Described is a system for tracking and predicting social events. The system filters a time series of data obtained from a social media source. Enhanced filtered signals (EFS) are extracted from the filtered time series data based on an amplification signal obtained via a summation of signals relevant to a process of interest in the filtered time series data. A level of human social activity in the social media source is monitored by comparing the extracted EFS to an event database to detect an increase in a number of social activity events in the social media source compared to the event database.

Tracking and prediction of societal event trends using amplified signals extracted from social media

Described is a system for detecting objects of interest in imagery. The system is configured to receive an input video and generate an attention map. The attention map represents features found in the input video that represent potential objects-of-interest (OI). An eye-fixation map is generated based on a subject's eye fixations. The eye-fixation map also represents features found in the input video that are potential OI. A brain-enhanced synergistic attention map is generated by fusing the attention map with the eye-fixation map. The potential OI in the brain-enhanced synergistic attention map are scored, with scores that cross a predetermined threshold being used to designate potential OI as actual or final OI.

System and method for detection of objects of interest in imagery

Diffusion control in a network of networks (NoN) uses a connection degree of node pairs to control diffusion within the NoN. A method of increasing diffusion includes selecting an unconnected node pair having a lowest connection degree and connected nodes of the selected unconnected node pair. A method of decreasing diffusion includes selecting a connected node pair having a highest connection degree and disconnecting nodes of the selected connected node pair. A network diffusion control system includes the NoN and a diffusion controller to one or both of increase a diffusion rate and decrease the diffusion rate within the NoN. A non-transitory computer readable medium includes instructions that implement the diffusion control within the NoN.

Network of networks diffusion control

Described is system for optimizing rapid serial visual presentation (RSVP) spacing and fusion. The system receives a sequence of a plurality of rapid serial visual presentation (RSVP) image chips. The plurality of RSVP image chips are generated from an image via a pre-processing step and have a high probability of containing a target of interest. The system alters the order of the sequence of the plurality of RSVP image chips to increase the probability of detection of a true target of interest when presented to a human subject.

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Boston, MA, United States of America

Matthew S Keegan