REAL-TIME EMBEDDED VISIBLE SPECTRUM LIGHT VISION-BASED HUMAN FINGER DETECTION AND TRACKING METHOD

• US 20110115892A1
• Filed: 11/15/2010
• Published: 05/19/2011
• Est. Priority Date: 11/13/2009
• Status: Abandoned Application

• Current Assignee: VisionBrite Technologies Inc.
• Original Assignee: VisionBrite Technologies Inc.
• Inventors: Fan, Wensheng, Tang, WeiYi
• Application Number:
  US12/946,313
• Publication Number:
  US 20110115892A1
• Time in Patent Office: Days
• US Class Current: 348/77
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16

Abstract

In one aspect there is provided an embodiment of an image capture device comprising a camera, an image processor, a storage device and an interface. The camera is configured to capture images in visible spectrum light of a human finger as part of a human hand in a field of view (FOV) of the camera. The image processor is configured to process a first one of the images to detect a presence of the finger. The image capture device is configured to detect the position of the presence of the finger tip, track movement of the finger tip within the FOV by processing at least a second one of the images and generate a command based on the tracked movement of the finger within the FOV. The method does not require any pre-detection training sequence with said finger prior to finger detection, and does not require the finger to be in specific relative angle or finger orientation in said FOV. If the human hand is holding a “finger” like object, such as a pen or stick, such object will be recognized as finger and the tip of the object will be recognized as finger tip and position is also detected. The interface is configured to transmit the detection of the presence of the finger, the assigned position of the finger tip and the command to an external apparatus.

Claims

1. A method, comprising:

capturing images, with a camera of an image capture device, in visible spectrum light of a human finger as part of a human hand in a field of view (FOV) of said camera;

processing, by an image processor of said image capture device, a first one of said images to detect a presence of said finger;

assigning, by said image capture device, a position of said presence of said finger;

tracking, by said image capture device, movement of said finger within said FOV by processing at least a second one of said images;

generating, by said image capture device, a command based on said tracked movement of said finger within said FOV; and

transmitting, with an interface, said detection of said finger, said position of said finger, and said command to an external apparatus.

2. The method as recited in claim 1 wherein said processing includes the steps of:

determining if a first contour line starting from a border of said FOV is longer than a first threshold;

determining, when said first contour line is longer than said first threshold, second contour lines for each of two edges of at least one fingers from said first one of said images of said finger as part of hand in said FOV;

generating single pixel width contour lines from each of said second contour lines; and

determining if said single pixel width contour lines are finger edge lines or finger tip points.

3. The method as recited in claim 2 wherein said determining if said single pixel width contour lines are finger edge lines comprises the steps of:

approximating each of said single pixel width contour lines as a straight line when said straight line approximation is below a second threshold;

determining a length of each of said approximated straight lines;

determining if each of said approximated straight lines is one of said finger edge lines when said length is greater than a third threshold; and

storing a slope and position of each of said finger edge lines in a storage device of said image capture device.

4. The method as recited in claim 3 wherein said determining if said single pixel width contour lines are finger tip points comprises the steps of:

computing a first derivative of each of said single pixel width contour lines when said straight line approximation is greater than said second threshold;

determining if each of said single pixel width contour lines with said straight line approximation greater than said second threshold is said finger tip point when first derivative results multiplied element by element by the same first derivative vector but shifted by one element and this multiplication results is negative and less than third threshold; and

storing a position of each of said finger tip points in said storage device of said image capture device.

5. The method as recited in claim 4 wherein said detection of said presence of said finger comprises the steps of:

determining if said stored slope of two finger edge lines on both side of the finger tip candidate are substantially the same; and

determining if said finger edge lines are within the range of length and distance of a normal human finger within the said FOV.

6. The method as recited in claim 4 wherein said tracking comprises the steps of:

comparing said position for any of said stored finger edge lines and finger tip position in said first one of said images with a position for a same one of at finger edge lines and finger tip position determined in said at least second one of said images; and

generating said tracked movement command based on said comparing.

7. The method as recited in claim 1 wherein a relative angle of finger orientation in said FOV is not required.

8. The method as recited in claim 1 wherein said detection of said presence of said finger does not require a pre-detection training sequence with said finger.

9. The method as recited in claim 1 further comprising associating, by said external apparatus, said position of said presence of said finger with an object displayed by said external apparatus in said FOV.

10. The method as recited in claim 10 wherein said object displayed by said external apparatus in said FOV is moved corresponding to said command.

11. An image capture device, comprising:

a camera;

an image processor;

a storage device; and

an interface wherein;

said camera is configured to capture images in visible light of a human finger as part of human hand in a field of view (FOV) of said camera,

said image processor is configured to process a first one of said images to detect a presence of said finger,

said image capture device is configured to;

assign a position of said presence of said finger tip,

track movement of said finger within said FOV by processing at least a second one of said images, and

generate a command based on said tracked movement of said finger tip within said FOV, and

said interface is configured to transmit said detection of said finger, said position of said finger tip, and said command to an external apparatus.

12. The image capture device as recited in claim 11 wherein said image processor is further configured to:

determine if a first contour line starting from a border of said FOV is longer than a first threshold;

determine, when said first contour line is longer than said first threshold, second contour lines for each of two edges of the finger from said first one of said images of said finger in said FOV;

generate single pixel width contour lines from each of said second contour lines; and

determine if said single pixel width contour lines are finger edge lines or finger tip points.

13. The image capture device as recited in claim 12 wherein said image processor is further configured to determine if said single pixel width contour lines are finger edge lines by:

approximating each of said single pixel width contour lines as a straight line when said straight line approximation is below a second threshold;

determining a length of each of said approximated straight lines; and

determining if each of said approximated straight lines is one of said finger edge lines when said length is greater than a third threshold, wherein a slope and position of each of said finger edge lines is stored in said storage device.

14. The image capture device as recited in claim 13 wherein said image processor is further configured to determine if said single pixel width contour lines are finger tip points by:

computing a first derivative of each of said single pixel width contour lines when said straight line approximation is greater than said second threshold; and

computing the multiplication between first derivative result vector and the same vector shifted by one element, the multiplication is performed on an element by element basis; and

determining if each of said single pixel width contour with said straight line approximation greater than said second threshold is said finger tip point when the said multiplication result is negative and less than a threshold, wherein a position of each of said finger edge lines is stored in said storage device.

15. The image capture device as recited in claim 14 wherein said image processor if further configured to detect said presence of said finger tip by:

determining if said position of said finger tip point is between two adjacent finger edge lines.

16. The image capture device as recited in claim 14 wherein said image capture device is further configured to assign a position of said presence of said finger tip based on said position of said finger tip point.

17. The image capture device as recited in claim 14 wherein said image capture device is further configured to track movement of said finger as part a hand by:

comparing said position of any of said stored finger edge lines in said first one of said images with a position for a same one of finger edges determined in said at least second one of said images; and

generating said tracked movement command based on said comparing of finger tip positions.

18. The image capture device as recited in claim 11 wherein a relative angle of finger orientation in said FOV is not required.

19. The image capture device as recited in claim 11 wherein said detection of said presence of said finger does not require a pre-detection training sequence with said finger.

20. The image capture device as recited in claim 11 wherein said detection of said presence of said finger can be a “

finger alike”

object such as a pen or stick, the method will detect the said object as finger and the tip of the object as finger tip and its position is detected.

21. The image capture device as recited in claim 11 wherein said external apparatus is further configured to associate said position of said finger tip with an object displayed by said external apparatus in said FOV.

22. The image capture device as recited in claim 21 wherein said object displayed by said external apparatus in said FOV is moved corresponding to said command.