Intel Corporation

Shahzad A Malik

Abhishek Ranjan

William J Colson

Faizal N Javer

Haroon F Mirza

Phillipp J Hubert

Umeshbhai Patel

Andrew J Kuzma

Addicam V Sanjay

Shweta Phadnis

Fengzhan Tian

Kunapareddy Chiranjeevi

Philipp J Hubert

Brad Vrabete

Rohan Chandra

Umesbbhal Patel

A digital advertising system includes an advertisements module that provides a number of digital advertisements for display on a digital display device. A digital sign module including the digital display device displays digital advertisements provided by the advertisements module, and captures video analytics data relating to previous viewers of the digital advertisements displayed by the digital sign module. A data mining module retrieves the video analytics data from the digital sign module and generates trained advertising models based thereon using a data mining algorithm. A content management system module coupled to the advertisements module and the data mining module receives the digital advertisements and the trained advertising models and generates a subset of the advertisements for display based on the trained advertising models.

Digital advertising system

Technologies for improving the accuracy of depth camera images include a computing device to generate a foreground mask and a background mask for an image generated by a depth camera. The computing device identifies areas of a depth image of a depth channel of the generated image having unknown depth values as one of interior depth holes or exterior depth holes based on the foreground and background masks. The computing device fills at least a portion of the interior depth holes of the depth image based on depth values of areas of the depth image within a threshold distance of the corresponding portion of the interior depth holes. Similarly, the computing device fills at least a portion of the exterior depth holes of the depth image based on depth values of areas of the depth image within the threshold distance of the corresponding portion of the exterior depth holes.

Technologies for improving the accuracy of depth cameras

The present disclosure is directed to a parallel face detection and tracking system. In general, embodiments consistent with the present disclosure may be configured to distribute the processing load associated with the detection and tracking of different faces in an image between multiple data processors. If needed, processing load balancing and/or protective features may be implemented to prevent the data processors from becoming overwhelmed. In one embodiment, a device may comprise, for example, a communication module and at least one processing module. The communication module may be configured to receive at least image information that may be processed by a plurality of data processors in the data processing module. For example, each of the data processors may be configured to detect faces in the image information and/or track detected faces in the image information based on at least one criterion.

Parallel face detection and tracking system

Measuring audience size for a digital sign comprises generating a plurality of paths, one for each face detected in a first sequence of video frames captured by a camera proximate the digital sign, and generating a zone in the sequence of video frames through which passes a threshold number of the paths. Motion and direction of motion within the zone is then measured in a second sequence of video frames to calculate the audience size that passes through the zone in the second sequence of video frames.

Method and apparatus for measuring audience size for a digital sign

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Markham, Canada

Shahzad A Malik