Lockheed Martin Corporation

Microsoft Technology Licensing, LLC

Lockheed Martin Company

Xiaogang Wang

Peter Henry Tu

Jens Rittscher

Thomas Baby Sebastian

GianFranco Doretto

Zhengyou Zhang

Cha Zhang

Amit Mohan Kulkarni

Orhan Cagri Imer

Anshul Kantwala

A system and method are provided for implementing performance improvements in a multicast protocol for networks that support incipient congestion indications via packet marking in instances of packet loss in the network during time-correlated blockages by providing indications in the physical (PHY) layer. A receiver rate calculation is adjusted so that a loss due to blockage is ignored completely and only packets marked using an Explicit Congestion Notification (ECN) packet marking protocol are treated as losses. Receiver rates are modified based on ECN principles to ignore losses. A NORM receiver rate equation may remain substantially unchanged while a sender is enabled to keep sending at a higher data rate, even in instances of blockage in support of higher system throughputs without defining a completely new receiver rate equation. Time-correlated blockages are not treated as losses.

ECN-enabled multicast protocol for wireless communication systems under blockage

A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.

Identifying descriptor for person and object in an image

Identifying descriptor for person or object in an image

Techniques for face verification are described. Local binary pattern (LBP) features and boosting classifiers are used to verify faces in images. A boosted multi-task learning algorithm is used for face verification in images. Finally, boosted face verification is used to verify faces in videos.

Boosted face verification

A device and method for efficient computation of statistical information, such as a mean, co-variance, or histogram of the image pixels, over discrete image regions. The computation employs integral computations to determine the statistical information over image regions of arbitrary shape, including irregular polygonal shaped regions. The integral computations are simplified by categorizing corner points of boundaries of image regions. The computation can be applied to calculate descriptors or signatures of persons or objects within an image. The computation also has a low computational cost enabling fast calculation of image statistics.

Device and method for fast computation of region based image features

Growing community of inventors

Cambridge, MA, United States of America

Xiaogang Wang