Abstract: A method and system for augmented reality. Images of a real world scene are obtained from one or more from one or more image sensors. An orientation and/or location of the image sensors is obtained from one or more state sensors. A real world object at which a predefined pointing object is performing a predefined gesture in the images of the real world scene is identified and data associated with the identified object is displayed on a viewing device. The invention also provides a computer program comprising computer program code means for performing all the steps of the method of the invention when said program is run on a computer.

Abstract: A method and system for augmented reality. Images of a real world scene are obtained from one or more from one or more image sensors. An orientation and/or location of the image sensors is obtained from one or more state sensors. A real world object at which a predefined pointing object is performing a predefined gesture in the images of the real world scene is identified and data associated with the identified object is displayed on a viewing device. The invention also provides a computer program comprising computer program code means for performing all the steps of the method of the invention when said program is run on a computer.

Abstract: A method and system for augmented reality. Images of a real world scene are obtained from one or more from one or more image sensors. An orientation and/or location of the image sensors is obtained from one or more slate sensors. A real world object at which a predefined pointing object is performing a predefined gesture in the images of the real world scene is identified and data associated with the identified object is displayed on a viewing device. The invention also provides a computer program comprising computer program code means for performing all the steps of the method of the invention when said program is run on a computer.

Abstract: Provided is a system and method for object detection and tracking in a video stream. Frames of the video stream are divided into regions of interest and a probability that the region contains at least a portion of an object to be tracked is calculated for each region of interest. The regions of interest in each frame are then classified based on the calculated probabilities. A region of interest (RI) frame is then constructed for each video frame that reports the classification of regions of interest in the video frame. Two or more RI frames are then compared in order to determine a motion of the object. Also provided is a system executing the presently described method, as well as a device including the system. The device may be for example, a portable computer, a mobile telephone, or an entertainment device.

Abstract: The presently disclosed subject matter includes a method of recognizing an aimed point on a plane. Images captured by one or more image sensor are processed for obtaining data obtaining data indicative of location of at least one pointing element in the viewing space and data indicative of at least one predefined user's body part in the viewing space; using the obtained data an aimed point on the plane is identified. In case it is determined that a predefined condition is met a predefined command and/or message is executed.

Abstract: A method and system for augmented reality. Images of a real world scene are obtained from one or more from one or more image sensors. An orientation and/or location of the image sensors is obtained from one or more state sensors. A real world object at which a predefined pointing object is performing a predefined gesture in the images of the real world scene is identified and data associated with the identified object is displayed on a viewing device. The invention also provides a computer program comprising computer program code means for performing all the steps of the method of the invention when said program is run on a computer.

Abstract: Provided is a system and method for object detection and tracking in a video stream. Frames of the video stream are divided into regions of interest and a probability that the region contains at least a portion of an object to be tracked is calculated for each region of interest. The regions of interest in each frame are then classified based on the calculated probabilities. A region of interest (RI) frame is then constructed for each video frame that reports the classification of regions of interest in the video frame. Two or more RI frames are then compared in order to determine a motion of the object. Also provided is a system executing the presently described method, as well as a device including the system. The device may be for example, a portable computer, a mobile telephone, or an entertainment device.