Abstract: The present disclosure generally pertains to a time-of-flight object detection circuitry configured to: obtain reflectivity data being indicative of reflectivity of a scene; determine the reflectivity of the scene; determine a region of an object in the scene based on the determined reflectivity; and generate time-of-flight image data based on the determined region of the object for detecting the object.

Abstract: Described herein is a method and a system for providing efficient and complementary natural multi-modal gesture based interaction with a computerized system which displays visual feedback information on a graphical user interface on an interaction surface. The interaction surface is within the frustum of an imaging device comprising a single sensing system. The system uses the single sensing system for detecting both touch gesture interactions with the interaction surface (120) and three-dimensional touch-less gesture interactions in areas or volumes above the interaction surface performed by hands of a user. Both types of interaction are associated contextually with an interaction command controlling the computerized system when the gesture has been detected.

Abstract: Described herein is a method and a system for providing efficient and complementary natural multi-modal gesture based interaction with a computerized system which displays visual feedback information on a graphical user interface on an interaction surface. The interaction surface is within the frustum of an imaging device comprising a single sensing system. The system uses the single sensing system for detecting both touch gesture interactions with the interaction surface (120) and three-dimensional touch-less gesture interactions in areas or volumes above the interaction surface performed by hands of a user. Both types of interaction are associated contextually with an interaction command controlling the computerized system when the gesture has been detected.

Abstract: Described herein is a method for detecting, identifying and tracking hand, hand parts, and fingers on the hand (500) of a user within depth images of a three-dimensional scene. Arms of a user are detected, identified, segmented from the background of the depth images, and tracked with respect to time. Hands of the user are identified and tracked and the location and orientation of its parts, including the palm and the fingers (510, 520, 530, 540, 550) are determined and tracked in order to produce output information enabling gesture interactions.