The invention provides a tracking apparatus and a tracking method by which an imaging object can be set without any special manual operation by a user. An imaged image is supplied to an imaging object setting section via an imaging object processing section. In the imaging object setting section, a motion detection section calculates a difference value between images of successive two frames and detects a motion of an image based on the difference value. Then, a portion of the image from which the motion is detected is set as an imaging object to be tracked.
A method and apparatus are described for improving object trackability via parametric camera tuning. According to one embodiment the improving of object trackability comprises loading prior camera settings if any stored prior camera settings are available. If no stored prior camera settings are available, loading one of a plurality of predetermined camera settings. A determination is made whether the camera settings loaded cause saturation of the image and hue differences between objects and between the objects and a background of the video image. If the saturation and hue differences do not exceed the threshold, a search of camera settings is performed to increase saturation and hue differences between objects and between the objects and a background of the video image.
A system and method facilitating object tracking is provided. The system includes an audio model that receives at least two audio input signals and a video model that receives a video input. The audio model and the video model employ probabilistic generative models which are combined to facilitate object tracking. Expectation maximization can be employed to modify trainable parameters of the audio model and the video model.
A method and apparatus are provided that determine the suitability of an image for use by an object tracking system. According to one embodiment of the present invention an image is preprocessed to separate one or more objects to be tracked from the rest of the image and compute statistics for the one or more objects to be tracked and the rest of the image. A quality measure is generated based on the statistics for the one or more objects to be tracked and the rest of the image that indicates the suitability of the image for use by an object tracking system.
The present invention relates to the recording of moving images by means of a portable communication device, such as a videophone. The communication device includes a main device (101), comprising a video camera (105). Furthermore, an accessory device (102), such as a headset, is also associated with the main device (101) and co-located with a relevant object (103). The video camera (105) records an original image of the relevant object (103). At least one tracking point (107a ) is located on the accessory device (102) and at least one automatic tracking sensor (108a-108c) responsive to the at least one tracking point is located on the main device (101). The main device (101) further comprises a tracking data generator, which receives signals from the automatic tracking sensor(s) (108a-108c) and generates in response thereto tracking data representing a target direction (104) between the main device (101) and the accessory device (102). An image controller in the main device (101) creates a stabilized image of the relevant object (103) based on the target direction (104) and an original image recorded by the video camera (105 ).
