Abstract: A system, method and article of manufacture are provided for detecting collisions or any other type of interactions between video images and an object depicted on a display. First, video images generated by a camera are received. Upon receipt, a first collision detection operation is executed for generating a first confidence value representative of a confidence that the received video images have collided with an object depicted on a display. Also executed is a second collision detection operation for generating a second confidence value representative of a confidence that the received video images have collided with the object depicted on the display. The first confidence value and the second confidence value are then made available for various applications. Such applications may depict an interaction between the video images and the object depicted on the display based on the first confidence value and the second confidence value.

Abstract: A system, method and article of manufacture are provided for tracking a head portion of a person image in video images. Upon receiving video images, a first head tracking operation is executed for generating a first confidence value. Such first confidence value is representative of a confidence that a head portion of a person image in the video images is correctly located. Also executed is a second head tracking operation for generating a second confidence value representative of a confidence that the head portion of the person image in the video images is correctly located. The first confidence value and the second confidence value are then outputted. Subsequently, the depiction of the head portion of the person image in the video images is based on the first confidence value and the second confidence value.

Abstract: A system, method and article of manufacture are provided for tracking a head portion of a person image in video images. Upon receiving video images, a first head tracking operation is executed for generating a first confidence value. Such first confidence value is representative of a confidence that a head portion of a person image in the video images is correctly located. Also executed is a second head tracking operation for generating a second confidence value representative of a confidence that the head portion of the person image in the video images is correctly located. The first confidence value and the second confidence value are then outputted. Subsequently, the depiction of the head portion of the person image in the video images is based on the first confidence value and the second confidence value.

Abstract: A system, method and article of manufacture are provided for detecting collisions or any other type of interactions between video images and an object depicted on a display. First, video images generated by a camera are received. Upon receipt, a first collision detection operation is executed for generating a first confidence value representative of a confidence that the received video images have collided with an object depicted on a display. Also executed is a second collision detection operation for generating a second confidence value representative of a confidence that the received video images have collided with the object depicted on the display. The first confidence value and the second confidence value are then made available for various applications. Such applications may depict an interaction between the video images and the object depicted on the display based on the first confidence value and the second confidence value.

Abstract: A system, method and article of manufacture are provided for tracking a head portion of a person image in video images. Upon receiving video images, a first head tracking operation is executed for generating a first confidence value. Such first confidence value is representative of a confidence that a head portion of a person image in the video images is correctly located. Also executed is a second head tracking operation for generating a second confidence value representative of a confidence that the head portion of the person image in the video images is correctly located. The first confidence value and the second confidence value are then outputted. Subsequently, the depiction of the head portion of the person image in the video images is based on the first confidence value and the second confidence value.

Abstract: A system and method are disclosed for providing a gesture recognition system for recognizing gestures made by a moving subject within an image and performing an operation based on the semantic meaning of the gesture. A subject, such as a human being, enters the viewing field of a camera connected to a computer and performs a gesture, such as flapping of the arms. The gesture is then examined by the system one image frame at a time. Positional data is derived from the input frames and compared to data representing gestures already known to the system. The comparisons are done in real-time and the system can be trained to better recognize known gestures or to recognize new gestures. A frame of the input image containing the subject is obtained after a background image model has been created. An input frame is used to derive a frame data set that contains particular coordinates of the subject at a given moment in time.

Abstract: A system and method are disclosed for providing a gesture recognition system for recognizing gestures made by a moving subject within an image and performing an operation based on the semantic meaning of the gesture. A subject, such as a human being, enters the viewing field of a camera connected to a computer and performs a gesture, such as flapping of the arms. The gesture is then examined by the system one image frame at a time. Positional data is derived from the input frames and compared to data representing gestures already known to the system. The comparisons are done in real-time and the system can be trained to better recognize known gestures or to recognize new gestures. A frame of the input image containing the subject is obtained after a background image model has been created. An input frame is used to derive a frame data set that contains particular coordinates of the subject at a given moment in time.