IP Library Granted Patent US 10,579,877
Granted Patent B2
US 10,579,877 · App. 15/864,006 · Granted Mar 3, 2020

System and method for selective image processing based on type of detected object

Inventor: Moshe Guttmann (Tel Aviv, IL)
Assignee: Allegro Artificial Intelligence LTD
G06K9/00677G06K9/00335G06K9/00718G06N5/04G06T7/20G06K2009/00738G06N20/00G06T2207/20092
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Quick Facts
Patent No.
US 10,579,877
App. No.
15/864,006
Granted
Mar 3, 2020
Kind
B2
Abstract

System and method for image processing are provided. Images may be obtained, for example by capturing the images using an image sensor. The images may be analyzed to identify objects. Based on the identified objects, regions in current images and/or in images captured in the future may be identified. Processing schemes for the identified regions may be selected, for example based on the identified objects. The regions may be processed according to the selected processing schemes.

Claims (42)

1. A system for image processing, the system comprising:

at least one processing unit configured to:

obtain a first group of one or more images captured using at least one image sensor from an environment;

analyze the first group of one or more images to identify at least one object in the environment;

obtain a second group of one or more images captured using the at least one image sensor from the environment;

identify at least a first region and a second region of the second group of one or more images based on the identified at least one object, wherein the first region differs from the second region;

select a processing scheme of a plurality of alternative processing schemes based on the identified at least one object;

process the first region using the selected processing scheme; and

process the second region using a second processing scheme, wherein the second processing scheme differs from the first processing scheme.

2. The system of claim 1 , wherein the system includes the at least one image sensor.

3. The system of claim 1 , wherein the second group of one or more images is captured after the identification of the at least one object.

4. The system of claim 1 , wherein at least one of identifying the at least one object and identifying the first region and the second region is based on user input.

5. The system of claim 1 , wherein identifying the at least one object is based on motion patterns in the first group of one or more images.

6. The system of claim 1 , wherein the first region corresponds to a region in the first group of one or more images depicting at least part of the at least one object.

7. The system of claim 1 , wherein the at least one object comprises at least one of a blinking light source and a display monitor.

8. The system of claim 1 , wherein the at least one object comprises at least one of a window and a mirror.

9. The system of claim 1 , wherein the at least one object comprises at least one of a fan and a tree.

10. A method for image processing, the method comprising:

obtaining a first group of one or more images captured using at least one image sensor from an environment;

analyzing the first group of one or more images to identify at least one object in the environment;

obtaining a second group of one or more images captured using the at least one image sensor from the environment;

identifying at least a first region and a second region of the second group of one or more images based on the identified at least one object, wherein the first region differs from the second region;

selecting a processing scheme of a plurality of alternative processing schemes based on the identified at least one object;

processing the first region using the selected processing scheme; and

processing the second region using a second processing scheme, wherein the second processing scheme differs from the first processing scheme.

11. The method of claim 10 , wherein the second group of one or more images is captured after the identification of the at least one object.

12. The method of claim 10 , wherein at least one of identifying the at least one object and identifying the first region and the second region is based on user input.

13. The method of claim 10 , wherein identifying the at least one object is based on motion patterns in the first group of one or more images.

14. The method of claim 10 , wherein the first region corresponds to a region in the first group of one or more images depicting at least part of the at least one object.

15. The method of claim 10 , wherein the at least one object comprises a display monitor.

16. The method of claim 10 , wherein the at least one object comprises a blinking light source.

17. The method of claim 10 , wherein the at least one object comprises at least one of a window and a mirror.

18. The method of claim 10 , wherein the at least one object comprises a fan.

19. The method of claim 10 , wherein the at least one object comprises a tree.

20. A non-transitory computer readable medium storing data and computer implementable instructions for carrying out a method, the method comprising:

obtaining a first group of one or more images captured using at least one image sensor from an environment;

analyzing the first group of one or more images to identify at least one object in the environment;

obtaining a second group of one or more images captured using the at least one image sensor from the environment;

identifying at least a first region and a second region of the second group of one or more images based on the identified at least one object, wherein the first region differs from the second region;

selecting a processing scheme of a plurality of alternative processing schemes based on the identified at least one object;

processing the first region using the selected processing scheme; and

processing the second region using a second processing scheme, wherein the second processing scheme differs from the first processing scheme.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 10, 2019
From: GUTTMANN, MOSHE
To: ALLEGRO ARTIFICIAL INTELLIGENCE LTD
Reel/Frame 049414/0116 →
Continuity (3)
Provisional Application 62444001 · Jan 9, 2017
Provisional Application 62452707 · Jan 31, 2017
Related Publication 20180150694A1 · May 31, 2018
Cited By (1)
US 12,300,030