Abstract: An image-based object tracking system and an image-based object tracking method are provided. The image-based object tracking system includes an object, a camera, a computing device, and a display device. A color stripe is disposed on the surface of the object. The color stripe divides the surface of the object into a first section and a second section. The camera is configured to capture real-time images of the object. Further, the object tracking algorithm is stored in the computing device. The display device includes a display screen and is electrically connected to the computing device, and the display screen is configured to display the real-time images of the object. By using the image-based object tracking system provided in the invention, the object can be tracked accurately and efficiently without interference with the image of the background.

Abstract: Method of applying virtual makeup and producing makeover effects to 3D face model driven by facial tracking in real-time includes the steps: capturing static or live facial images of a user; performing facial tracking of facial image, and obtaining tracking points on captured facial image; and producing makeover effects according to tracking points in real time. Virtual makeup can be applied using virtual makeup input tool such as a user's finger sliding over touch panel screen, mouse cursor or an object passing through makeup-allowed area. Makeup-allowed area for producing makeover effects is defined by extracting feature points from facial tracking points and dividing makeup-allowed area into segments and layers; and defining and storing parameters of makeup-allowed area. Virtual visual effects including color series, alpha blending, and/or superposition are capable of being applied.

Abstract: Image-based object tracking system includes at least a controller with two or more color clusters, an input button, a processing unit with a camera, an object tracking algorithm and a display. Camera is configured to capture images of the controller, the processing unit is connected to display to display processed image contents, the controller is directly interacting with displayed processed image content. The controller can have two or three color clusters located on a side surface thereof and two color clusters having concentric circular areas located at a top surface thereof, the color of the first color cluster can be the same as or different from the color of the third color cluster. An object tracking method with or without scale calibration is also provided, which includes color learning and color relearning, image capturing, separating and splitting of the controller and the background, object pairing procedure steps on the controller.

Abstract: An image-based object tracking system and an image-based object tracking method are provided. The image-based object tracking system includes an object, a camera, a computing device, and a display device. A color stripe is disposed on the surface of the object. The color stripe divides the surface of the object into a first section and a second section. The camera is configured to capture real-time images of the object. Further, the object tracking algorithm is stored in the computing device. The display device includes a display screen and is electrically connected to the computing device, and the display screen is configured to display the real-time images of the object. By using the image-based object tracking system provided in the invention, the object can be tracked accurately and efficiently without interference with the image of the background.

Abstract: Image-based object tracking system includes at least a controller with two or more color clusters, an input button, a processing unit with a camera, an object tracking algorithm and a display. Camera is configured to capture images of the controller, the processing unit is connected to display to display processed image contents, the controller is directly interacting with displayed processed image content. The controller can have two or three color clusters located on a side surface thereof and two color clusters having concentric circular areas located at a top surface thereof, the color of the first color cluster can be the same as or different from the color of the third color cluster. An object tracking method with or without scale calibration is also provided, which includes color learning and color relearning, image capturing, separating and splitting of the controller and the background, object pairing procedure steps on the controller.

Abstract: Method of applying virtual makeup and producing makeover effects to 3D face model driven by facial tracking in real-time includes the steps: capturing static or live facial images of a user; performing facial tracking of facial image, and obtaining tracking points on captured facial image; and producing makeover effects according to tracking points in real time. Virtual makeup can be applied using virtual makeup input tool such as a user's finger sliding over touch panel screen, mouse cursor or an object passing through makeup-allowed area. Makeup-allowed area for producing makeover effects is defined by extracting feature points from facial tracking points and dividing makeup-allowed area into segments and layers; and defining and storing parameters of makeup-allowed area. Virtual visual effects including color series, alpha blending, and/or superposition are capable of being applied.