Polycom, Inc.

Plantronics, Inc.

Xiangdong Wang

Peter L Chu

Yibo Liu

Jinwei Feng

Edmund S Thompson

David A Bryan

Yong Yan

Jian David Wang

Varun Ajay Kulkarni

John Paul Spearman

Multiple cameras in a conference room, each pointed in a different direction and including a microphone array to perform sound source localization (SSL). The SSL is used in combination with the video image to identify the speaker from among multiple individuals that appear in the video image. Neural network or machine learning processing is performed on the identified speaker to determine the quality of the front or facial view of the speaker. The best view of the speaker's face from the various cameras is selected to be provided to the far end. If no view is satisfactory, a default view is selected and that is provided to the far end. The use of the SSL allows selection of the proper individual from a group of individuals in the conference room, so that only the speaker's head is analyzed for the best facial view and then framed for transmission.

Intelligent multi-camera switching with machine learning

A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.

People detection method for auto-framing and tracking in a video conference

A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, faces of participants are detected, and a boundary in the view is determined to contain the detected faces. Absence and presences of motion associated with the detected face is used to verify whether a face is reliable. To then capture and output video of the participants for the videoconference, the view of the adjustable camera is adjusted to a framed view based on the determined boundary. In the end, active video captured in the framed view with the adjustable camera can be sent to a far-end for the videoconference.

Videoconferencing system having adjunct camera for auto-framing and tracking

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North Billerica, MA, United States of America

Xiangdong Wang