Method of filtering video sources

• US 20040114825A1
• Filed: 12/12/2002
• Published: 06/17/2004
• Est. Priority Date: 12/12/2002
• Status: Abandoned Application

• Current Assignee: Institute For Information Industry
• Original Assignee: Institute For Information Industry
• Inventors: Wu, Tzong-Der
• Application Number:
  US10/317,501
• Publication Number:
  US 20040114825A1
• Time in Patent Office: Days
• US Class Current: 382/261
• CPC Class Codes: G01S 3/7864 T.V. type tracking systems
• CPC Class Codes: H04N 5/262 Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects

Abstract

A method of filtering video sources. A video having at least a first frame and a second frame and filter parameters is first received. Then, a designated portion of the body is set. Thereafter, an object and a corresponding face portion in the first frame are detected, and a skeleton of the object is determined. Then, the designated portion in the object is found according to the position of the face portion and the skeleton, and an adaptive filter is generated on the designated portion in the first frame. Afterward, the designated portion in the second frame is motion tracked, and another adaptive filter is generated on the designated portion in the second frame.

Claims

1. A method of filtering video sources, comprising the steps of:

receiving a video having at least a first and second frames;

detecting at least one object in the first frame;

designating the object;

generating an adaptive filter on the designated object in the first frame;

motion tracking the designated object in the second frame; and

generating another adaptive filter on the designated object in the second frame.

2. The method as claimed in claim 1 further comprising receiving filter parameters.

3. The method as claimed in claim 2 wherein the adaptive filter is generated according to the filter parameters.

4. The method as claimed in claim 2 wherein the filter parameters comprise the size of the adaptive filter.

5. The method as claimed in claim 2 wherein the filter parameters comprise the level of digitization of the adaptive filter.

6. The method as claimed in claim 1 wherein the method of generating the adaptive filter performs discrete cosine transformation (DCT) on the designated object, and filters parts of frequency space of the designated object.

7. The method as claimed in claim 5 wherein the method of generating the adaptive filter performs discrete cosine transformation (DCT) on the designated object, and filters parts of frequency space of the designated object according to the necessary level of digitization.

8. The method as claimed in claim 1 wherein the object is detected by edge detection method.

9. The method as claimed in claim 1 wherein the object is detected by employing a frame difference method.

10. A method of filtering video sources, comprising the steps of:

receiving a video having at least a first frame and a second frame;

setting a designated portion of the body;

detecting at least one object in the first frame;

detecting a face portion of the object;

determining a skeleton of the object;

finding the designated portion in the object according to the position of the face portion in the object and the skeleton;

generating an adaptive filter on the designated portion in the first frame;

motion tracking the designated portion in the second frame; and

generating another adaptive filter on the designated portion in the second frame.

11. The method as claimed in claim 10 further receiving filter parameters.

12. The method as claimed in claim 11 wherein the adaptive filter is generated according to the filter parameters.

13. The method as claimed in claim 11 wherein the filter parameters comprise the size of the adaptive filter.

14. The method as claimed in claim 11 wherein the filter parameters comprise the level of digitization of the adaptive filter.

15. The method as claimed in claim 10 wherein the method of generating the adaptive filter performs discrete cosine transformation (DCT) on the designated object, and filters parts of frequency space of the designated object.

16. The method as claimed in claim 14 wherein the method of generating the adaptive filter performs discrete cosine transformation (DCT) on the designated object, and filters parts of frequency space of the designated object according to the necessary level of digitization.

17. The method as claimed in claim 10 wherein the object is detected by edge detection method.

18. The method as claimed in claim 10 wherein the object is detected by frame difference method.