MOTION DETECTION METHOD AND APPARATUS

• US 20070263905A1
• Filed: 05/10/2007
• Published: 11/15/2007
• Est. Priority Date: 05/10/2006
• Status: Abandoned Application

• Current Assignee: Realtek Semiconductor Corp.
• Original Assignee: Realtek Semiconductor Corp.
• Inventors: Chao, Po-Wei, Chang, Ching-Hua
• Application Number:
  US11/746,651
• Publication Number:
  US 20070263905A1
• Time in Patent Office: Days
• US Class Current: 382/107
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 7/13 Edge detection
• CPC Class Codes: G06T 7/246 using feature-based methods, e.g. the tracking of corners or segments
• CPC Class Codes: G06V 10/507 Summing image-intensity values; Histogram projection analysis
• CPC Class Codes: H04N 5/144 Movement detection for video coding H04N19/503; analysis of motion in general G06T7/20

Abstract

A motion detection apparatus and related method for detecting motions between a first image and a second image are disclosed. The motion detection apparatus includes an edge detection module and a motion detection unit. The edge detection module performs an edge detecting operation on the first and second images so as to categorize a plurality of pixels in the first and second images. The motion detection unit is coupled to the edge detection module. According to the categorizing results of the pixels in the first and second images, the motion detection unit detects motion between the first and second images.

Claims

1. A motion detecting method, for detecting a motion between a first image and a second image, the motion detecting method comprising:

performing an edge detecting calculation upon the first and the second images to categorize a plurality of pixels within the first and the second images; and

detecting the motion between the first and the second images according to categorizing results of the pixels within the first and the second images.

2. The motion detecting method of claim 1, wherein the step of performing the edge detecting calculation upon the first and the second images to categorize the pixels within the first and the second images comprises:

assigning an edge categorization value to each of the pixels within the first and the second images according to calculating result of the edge detecting calculation.

3. The motion detecting method of claim 2, wherein the step of detecting the motion between the first and the second images according to the categorizing result of the pixels within the first and the second images comprises:

checking differences between the edge categorization values of a first group of pixels within the first image and the edge categorization values of a second group of pixels within the second image.

4. The motion detecting method of claim 2, wherein the step of detecting the motion between the first and the second images according to the categorizing result of the pixels within the first and the second images comprises:

calculating a sum of absolute differences between the edge categorization values of a first group of pixels within the first image and the edge categorization values of a second group of pixels within the second image.

5. The motion detecting method of claim 2, wherein the step of detecting the motion between the first and the second images according to the categorizing result of the pixels within the first and the second images comprises:

performing a statistic calculation upon the edge categorization values of the pixels within the first and the second images on a pixel window basis to further categorize the pixels within the first and the second images; and

detecting the motion between the first and the second images according to further categorizing results of the pixels within the first and the second images.

6. The motion detecting method of claim 5, wherein the step of performing the statistic calculation upon the edge categorization values of the pixels within the first and the second images on the pixel window basis to further categorize the pixels within the first and the second images comprises:

assigning a statistic categorization value to each of the pixels within the first and the second images according to the calculating result of the statistic calculation upon the edge categorization values of the pixels within the first and the second images on the pixel window basis.

7. The motion detecting method of claim 6, wherein the step of detecting the motion between the first and the second images according to the further categorizing results of the pixels within the first and the second images comprises:

checking a difference between the statistic categorization values of a first group of pixels within the first image and the statistic categorization values of a second group of pixels within the second image.

8. The motion detecting method of claim 6, wherein the step of detecting the motion between the first and the second images according to the further categorizing results of the pixels within the first and the second images comprises:

calculating a sum of absolute differences between the statistic categorization values of a first group of pixels within the first image and the statistic categorization values of a second group of pixels within the second image.

9. The motion detecting method of claim 5, wherein the step of performing the statistic calculation upon the edge categorization values of the pixels within the first and the second images on the pixel window basis to further categorize the pixels within the first and the second images comprises:

for a specific pixel within the first or the second image, performing a statistic upon the amounts of pixels that are categorized into various types in a specific pixel window, and then categorizing the specific pixel according to a statistic result, wherein the specific pixel window corresponds to the specific pixel.

10. A motion detecting apparatus, for detecting a motion between a first image and a second image, the motion detecting apparatus comprising:

an edge detecting module, for performing an edge detecting calculation upon the first and the second images to categorize a plurality of pixels within the first and the second images; and

a motion detecting unit, coupled to the edge detecting module, for detecting the motion between the first and the second images according to categorizing results of the pixels within the first and the second images.

11. The motion detecting apparatus of claim 10, wherein the edge detecting module assigns an edge categorization value to each of the pixels within the first and the second images according to calculating result of the edge detecting calculation performed upon the first and the second images.

12. The motion detecting apparatus of claim 11, wherein the motion detecting unit checks differences between the edge categorization values of a first group of pixels within the first image and the edge categorization values of a second group of pixels within the second image to detect the motion between the first and the second images.

13. The motion detecting apparatus of claim 11, wherein the motion detecting unit calculates a sum of absolute differences between the edge categorization values of a first group of pixels within the first image and the edge categorization values of a second group of pixels within the second image to detect the motion between the first and the second images.

14. A motion detecting apparatus, for detecting a motion between a first image and a second image, the motion detecting apparatus comprising:

an edge detecting module, for performing an edge detecting calculation upon the first and the second images to categorize a plurality of pixels within the first and the second images;

a pixel window statistic module, coupled to the edge detecting module, for performing a statistic calculation upon edge categorizing results of the pixels within the first and the second images on a pixel window basis to further categorize the pixels within the first and the second images; and

a motion detecting unit, coupled to the pixel window statistic module, for detecting the motion between the first and the second images according to further categorizing results of the pixels within the first and the second images.

15. The motion detecting apparatus of claim 14, wherein for a specific pixel within the first or the second image, the pixel window statistic module performs a statistic upon the amounts of pixels that are categorized into various types in a specific pixel window, and then categorizes the specific pixel according to a statistic result, wherein the specific pixel window corresponds to the specific pixel.

16. The motion detecting apparatus of claim 14, wherein the edge detecting module assigns an edge categorization value to each of the pixels within the first and the second images according to calculation result of the edge detecting calculation performed upon the first and the second images.

17. The motion detecting apparatus of claim 16, wherein the pixel window statistic module assigns a statistic categorization value to each of the pixels within the first and the second images according to the calculation result of the statistic calculation based on the pixel window performed upon the edge categorizing values of the pixels within the first and the second images.

18. The motion detecting apparatus of claim 17, wherein the motion detecting unit checks a difference between the statistic categorization values of a first group of pixels within the first image and the statistic categorization values of a second group of pixels within the second image to detect the motion between the first and the second images.

19. The motion detecting apparatus of claim 17, wherein the motion detecting unit calculates a sum of absolute differences between the statistic categorization values of a first group of pixels within the first image and the statistic categorization values of a second group of pixels within the second image to detect the motion between the first and the second images.