METHOD AND SYSTEM FOR VISUAL TRACKING OF A SUBJECT FOR AUTOMATIC METERING USING A MOBILE DEVICE

• US 20150103184A1
• Filed: 10/15/2013
• Published: 04/16/2015
• Est. Priority Date: 10/15/2013
• Status: Abandoned Application

• Current Assignee: NVIDIA Corporation
• Original Assignee: NVIDIA Corporation
• Inventors: TRACEY, Colin, LORD, Nathan, SPIZHEVOY, Alexey, KAMAEV, Andrey
• Application Number:
  US14/054,619
• Publication Number:
  US 20150103184A1
• Time in Patent Office: Days
• US Class Current: 348/169
• CPC Class Codes: G01S 3/7865 using correlation of the live video image with a stored image

Abstract

Embodiments of the present invention provide a novel solution that enables mobile devices to continuously track interesting subjects by creating dynamic visual models that can be used to detect and track subjects in-real time through total occlusion or even if a subject temporarily leaves the mobile device'"'"'s field of view. Additionally, embodiments of the present invention use an online learning scheme that dynamically adjusts tracking procedures responsive to any appearance and/or environmental changes associated with an interesting subject that may occur over a period of time. In this manner, embodiments of the present invention can determine a more optimal focus position that allows movement by either the mobile device or the subject during the performance of auto-focusing procedures and also enables other camera parameters to properly calibrate (meter) themselves based on the focus position determined.

Claims

1. A method of adjusting camera parameters for image capture using a mobile device, said method comprising:

using a camera system, selecting a subject within a field of view of said mobile device during a first time period;

generating and storing a visual model on said mobile device responsive to said detecting of said subject, wherein said visual model is operable to represent said subject during a second time period wherein said subject is outside of said field of view of said mobile device;

estimating a region of interest for capturing an image of said subject during a third time period by tracking said subject in real-time using said visual model, wherein said subject is within said field of view of said mobile device during said third time period; and

adjusting camera parameters responsive to said region of interest prior to image capture.

2. The method as described in claim 1, further comprising capturing an image using said camera parameters.

3. The method as described in claim 1, wherein said detecting further comprises defining a region of interest using user input, wherein said region of interest encapsulates said subject.

4. The method as described in claim 1, wherein said detecting further comprises using a classification scheme to detect said subject, wherein said classification scheme is a Ferns classification scheme.

5. The method as described in claim 1, wherein said camera parameters comprise focus and exposure metering parameters.

6. The method as described in claim 1, wherein said generating further comprises updating said visual model in real-time responsive to appearance changes associated with said subject detected over a period of time.

7. The method as described in claim 1, wherein said tracking further comprises calculating a confidence score, wherein said tracking further comprises determining whether said visual model is updated with new data within an estimated region of interest.

8. The method as described in claim 1, wherein said detecting further comprises using face detection procedures to detect said subject.

9. A system for adjusting camera parameters for image capture using a mobile device, said system comprising:

a detection module operable to detect a preselected subject identified using user input, wherein said preselected subject is within a field of view of said mobile device during a first time period;

a model generation module operable to generate and store a visual model in memory resident on said mobile device responsive to a detection of said preselected subject, wherein said visual model is operable to represent said preselected subject during a second time period wherein said preselected subject is outside of said field of view of said mobile device;

a tracking module operable to estimate a region of interest for capturing an image of said preselected subject during a third time period by tracking said preselected subject in real-time using said visual model, wherein said preselected subject is within said field of view of said mobile device during said third time period; and

an adjustment module operable to adjust camera parameters responsive to said region of interest prior to image capture.

10. The system as described in claim 9, further comprising an image capture module operable to capture an image using said camera parameters.

11. The system as described in claim 9, wherein said detection module is further operable to receive data associated with a region of interest defined by a user, wherein said region of interest encapsulates said preselected subject.

12. The system as described in claim 9, wherein said detection module is further operable to use a classification scheme to detect said preselected subject, wherein said classification scheme is a Ferns classification scheme.

13. The system as described in claim 9, wherein said camera parameters comprise focus and exposure metering parameters.

14. The system as described in claim 9, wherein said tracking module is further operable to calculate a confidence score to determine whether to update a previously estimated focus position calculated for said preselected subject using updated coordinate data provided by said visual model.

15. A method of capturing an image using a mobile device, said method comprising:

using a camera system, detecting a first subject within a field of view of said mobile device during a first time period;

generating and storing a first visual model on said mobile device responsive to a detection of said first subject, wherein said first visual model is operable to dynamically represent said first subject during a second time period wherein said first subject is outside of said field of view of said mobile device;

estimating a first focus position for capturing an image of said first subject during a third time period by tracking said first subject in real-time using said first visual model, wherein said first subject is within said field of view of said mobile device during said third time period;

adjusting camera parameters responsive to said first optimal focus position prior to image capture; and

capturing said image using said camera parameters.

16. The method as described in claim 15, wherein said detecting further comprises defining a region of interest using user input, wherein said region of interest encapsulates said first subject.

17. The method as described in claim 15, wherein said detecting further comprises using a classification scheme to detect said first subject, wherein said classification scheme is a Ferns classification scheme.

18. The method as described in claim 15, wherein said camera parameters comprise focus and exposure metering parameters.

19. The method as described in claim 15, wherein said generating further comprises updating said first visual model in real-time responsive to appearance changes associated with said first subject detected over a period of time.

20. The method as described in claim 15, wherein said tracking further comprises calculating a confidence score to determine whether to update a previously estimated focus position calculated for said first subject using updated coordinate data provided by said first visual model.

21. The method as described in claim 15, further comprising:

using said camera system, detecting a second subject within said field of view of said mobile device during said first time period;

generating and storing a second visual model on said mobile device responsive to a detection of said second subject, wherein said second visual model is operable to represent said second subject during said second time period wherein said second subject is outside of said field of view of said mobile device;

estimating a second focus position for capturing an image of said second subject during said third time period by tracking said second subject in real-time using said second visual model, wherein said second subject is within said field of view of said mobile device during said third time period; and

adjusting camera parameters responsive to said second focus position prior to said image capture.