Abstract: A headset comprising a first earcup comprising a first capacitive sensor a second earcup comprising a second capacitive sensor, and a headband comprising a third capacitive sensor. A processor of the headset being configured to receive capacitive information from the first capacitive sensor, the second capacitive sensor, and the third capacitive sensor, to determine whether the first capacitive sensor, the second capacitive sensor, and the third capacitive sensor are capacitively coupled to a user wearing the headset based on the received capacitive information, and to set the headset to a first active mode, if the first capacitive sensor, the second capacitive sensor, and the third capacitive sensor are determined to be capacitively coupled to the user wearing the headset.

Abstract: The present disclosure relates to a headset with first earcup comprising a first electrically conductive material forming a first sense electrode. The first sense electrode is configured for capacitively-coupling to skin of a user of the headset when the user is wearing the headset. The first electrically conductive material is a flexible material configured to deform dependent on a head shape and/or an ear shape of a user of the headset when the user is wearing the headset.

Abstract: The present invention relates to a method 100 for object detection (140), recognition, classification and tracking using a distributed networked architecture comprising one or more sensor units (20) wherein the image acquisition and the initial feature extraction are performed and a gateway processor (30) for further data processing. The present invention also relates to a vision system (10) for object detection (140) wherein the method may be implemented, to the devices of the vision system (10), and to the algorithms implemented in the vision system (10) for executing the method acts.

Abstract: Aspects of the present disclosure are directed to, for example, a method for object detection, recognition, classification and tracking using a distributed networked architecture. In some embodiments, the distributed network architecture may include one or more sensor units wherein the image acquisition and the initial feature extraction are performed and a gateway processor for further data processing. Some aspects of the present disclosure are also directed to a vision system for object detection, and to algorithms implemented in the vision system for executing the method acts for object detection, recognition, classification and/or tracking.

Abstract: Aspects of the present disclosure are directed to, for example, a method for object detection, recognition, classification and tracking using a distributed networked architecture. In some embodiments, the distributed network architecture may include one or more sensor units wherein the image acquisition and the initial feature extraction are performed and a gateway processor for further data processing. Some aspects of the present disclosure are also directed to a vision system for object detection, and to algorithms implemented in the vision system for executing the method acts for object detection, recognition, classification and/or tracking.

Abstract: The invention is directed to systems, methods and computer program products for determining a front facing view for a camera and centering an omnidirectional image captured by the camera. An exemplary method comprises determining motion of the camera; determining an azimuthal angle and a polar angle for the camera based on the motion; determining the front facing view based on the azimuthal angle and the polar angle; capturing the image based on the front facing view; segmenting the image into at least two sections; calculating an average motion vector for each section; determining two sections with mirrored motion vectors having substantially equal magnitude; and centering the image based on the two sections with mirrored motion vectors.