IP Library Granted Patent US 9,323,990
Granted Patent B2
US 9,323,990 · App. 14/257,270 · Granted Apr 26, 2016

Full-automatic detection method and system for static characteristic information in dynamic image

Inventors: Binxuan Sun (Shanghai, CN); Cheng-Tie Chen (Shanghai, CN); Xiaodong Huang (Shanghai, CN); Ke Wu (Shanghai, CN)
Assignee: MONTAGE TECHNOLOGY (SHANGHAI) CO., LTD.
G06K9/00744G06K2209/25
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Quick Facts
Patent No.
US 9,323,990
App. No.
14/257,270
Granted
Apr 26, 2016
Kind
B2
Abstract

According to a method in the present invention, first whether an inter-frame difference for each pixel in predetermined first region and second region in the dynamic image exceeds a predetermined threshold is judged to determine whether the pixel is a static information point, and when, in the second region, pixels in regions not overlapping with the first region are determined as non-static information points, judgment on the inter-frame difference and the predetermined threshold is stopped; and then static characteristic information in the dynamic image is determined based on the static information points in the first region. Preferably, the inter-frame difference for each pixel in the first region may be re-judged based on an adjusted predetermined threshold, to further determine the static characteristic information in the dynamic image, so that static opaque static characteristic information or static characteristic information with arbitrary degrees of transparency in the dynamic image can be detected.

Claims (34)

1. A full-automatic detection method for static characteristic information in a dynamic image, wherein the full-automatic detection method for static characteristic information in a dynamic image at least comprises:

(1) judging whether a pixel is a static information pixel or not by comparing an inter-frame difference with a predetermined threshold in a predetermined first region and second region; the judging process is stopped when the pixels in the non overlap region of the first and second region are judged as non-static information points; and

(2) determining static characteristic information in the dynamic image based on the static information points in the first region;

wherein when the static information points in the first region are determined as belonging to the static characteristic information in the dynamic image, the steps (1) and (2) are repeated based on an adjusted predetermined threshold.

2. The full-automatic detection method for static characteristic information in a dynamic image as in claim 1 , further comprising:

detecting background information points in the static information points based on a horizontal frequency,

wherein the step (2) is proceeded as follows: determining the static characteristic information in the dynamic image based on static information points in the first region which are not background information points.

3. The full-automatic detection method for static characteristic information in a dynamic image as in claim 1 , further comprising:

synthesizing the static characteristic information obtained after multiple times of determination operations to obtain ultimate static characteristic information.

4. The full-automatic detection method for static characteristic information in a dynamic image as in claim 1 , wherein the first region is contained within the second region.

5. The full-automatic detection method for static characteristic information in a dynamic image as in claim 1 , wherein the first region and the second region overlap partially or do not overlap at all.

6. A full-automatic detection system for static characteristic information in a dynamic image, wherein the full-automatic detection system for static characteristic information in a dynamic image at least comprises:

a judgment module, for judging whether an inter-frame difference for each pixel in a predetermined first region and second region in the dynamic image exceeds a predetermined threshold to determine whether the pixel is a static information point, and stopping the judgment operation between the inter-frame difference and the predetermined threshold when all the pixels in a specific region within the second region and not overlapping with the first region are determined as non-static information points; and

a determination module, for determining static characteristic information in the dynamic image based on the static information points in the first region;

wherein when the static information points in the first region are determined as belonging to the static characteristic information in the dynamic image, the judgment module and the determination module repetitively perform respective operations based on an adjusted predetermined threshold.

7. The full-automatic detection system for static characteristic information in a dynamic image as in claim 6 , further comprising:

a detection module, for detecting background information points in the static information points based on a horizontal frequency;

wherein the determination module is further used for:

determining the static characteristic information in the dynamic image based on static information points in the first region which are not background information points.

8. The full-automatic detection system for static characteristic information in a dynamic image as in claim 6 , further comprising:

a synthesis module, for synthesizing the static characteristic information obtained after multiple times of determination operations to obtain ultimate static characteristic information.

9. The full-automatic detection system for static characteristic information in a dynamic image as in claim 6 , wherein the first region is contained within the second region.

10. The full-automatic detection system for static characteristic information in a dynamic image as in claim 6 , wherein the first region and the second region overlap partially or do not overlap at all.

11. The full-automatic detection method for static characteristic information in a dynamic image as in claim 1 , further comprising:

detecting background information points in the static information points based on a horizontal frequency,

wherein the step (2) is proceeded as follows: determining the static characteristic information in the dynamic image based on static information points in the first region which are not background information points.

12. The full-automatic detection method for static characteristic information in a dynamic image as in claim 1 , further comprising:

synthesizing the static characteristic information obtained after multiple times of determination operations to obtain ultimate static characteristic information.

13. The full-automatic detection system for static characteristic information in a dynamic image as in claim 6 , further comprising:

a detection module, for detecting background information points in the static information points based on a horizontal frequency;

wherein the determination module is further used for:

determining the static characteristic information in the dynamic image based on static information points in the first region which are not background information points.

14. The full-automatic detection system for static characteristic information in a dynamic image as in claim 6 , further comprising:

a synthesis module, for synthesizing the static characteristic information obtained after multiple times of determination operations to obtain ultimate static characteristic information.

Assignments (3)
SECURITY INTEREST Recorded Apr 24, 2024
From: MONTAGE LZ SEMICONDUCTOR (SHANGHAI) CO., LTD.; MONTAGE LZ TECHNOLOGIES (CHENGDU) CO., LTD.
To: RENLAI ELECTRONIC TECHNOLOGIES (SHANGHAI) CO., LTD.
Reel/Frame 067200/0638 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 3, 2017
From: MONTAGE TECHNOLOGY (SHANGHAI) CO., LTD.
To: MONTAGE LZ TECHNOLOGIES (CHENGDU) CO., LTD.; MONTAGE LZ SEMICONDUCTOR (SHANGHAI) CO., LTD.
Reel/Frame 044033/0190 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 21, 2014
From: SUN, BINXUAN; CHEN, CHENG-TIE; HUANG, XIAODONG; WU, KE
To: MONTAGE TECHNOLOGY (SHANGHAI) CO., LTD.
Reel/Frame 032717/0707 →
Priority Claims (1)
CN 2013 1 0753826 · Dec 31, 2013 · national
Continuity (1)
Related Publication 20150186731A1 · Jul 2, 2015