Microsoft Technology Licensing, LLC

Matheen Siddiqui

Steven Nabil Bathiche

Sing Bing Kang

Alex Aben-Athar Kipman

Ryan M Geiss

Jamie Daniel Joseph Shotton

Alexandru Octavian Balan

Vivek Pradeep

Luis Eduardo Cabrera-Cordon

Jamie Shotton

Pablo Luis Sala

Oliver Michael Christian Williams

Liang Wang

Luis E Cabrera-Cordon

Object detection techniques for use in conjunction with optical sensors is described. In one or more implementations, a plurality of inputs are received, each of the inputs being received from a respective one of a plurality of optical sensors. Each of the plurality of inputs are classified using machine learning as to whether the inputs are indicative of detection of an object by a respective said optical sensor.

Object detection in optical sensor systems

Systems and methods for estimating a posture of a body part of a user are disclosed. In one disclosed embodiment, an image is received from a sensor, where the image includes at least a portion of an image of the user including the body part. The skeleton information of the user is estimated from the image, a region of the image corresponding to the body part is identified at least partially based on the skeleton information, and a shape descriptor is extracted for the region and the shape descriptor is classified based on training data to estimate the posture of the body part.

Classification of posture states

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Los Angeles, CA, United States of America

Matheen Siddiqui