METHOD FOR MOVING OBJECT DETECTION USING AN IMAGE SENSOR AND STRUCTURED LIGHT

• US 20130038694A1
• Filed: 04/27/2011
• Published: 02/14/2013
• Est. Priority Date: 04/27/2010
• Status: Abandoned Application

• Current Assignee: Chethan Reddy, Sanjay Nichani
• Original Assignee: Chethan Reddy, Sanjay Nichani
• Inventors: Nichani, Sanjay, Reddy, Chethan
• Application Number:
  US13/644,000
• Publication Number:
  US 20130038694A1
• Time in Patent Office: Days
• US Class Current: 348/46
• CPC Class Codes: G06T 2207/30232 Surveillance
• CPC Class Codes: G06T 2207/30241 Trajectory
• CPC Class Codes: G06T 2207/30242 Counting objects in image
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/521 from laser ranging, e.g. using interferometry; from the projection of structured light
• CPC Class Codes: G06V 10/145 Illumination specially adapted for pattern recognition, e.g. using gratings
• CPC Class Codes: G06V 20/53 Recognition of crowd images, e.g. recognition of crowd congestion
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition
• CPC Class Codes: G07C 9/00 Individual registration on entry or exit

Abstract

A method for detecting moving objects including people. Enhanced monitoring, safety and security is provided through the use of a monocular camera and a structured light source, by trajectory computation, velocity computation, or counting of people and other objects passing through a laser plane arranged perpendicular to the ground, and which can be setup anywhere near a portal, a hallway or other open area. Enhanced security is provided for portals such as revolving doors, mantraps, swing doors, sliding doors, etc., using the monocular camera and structured light source to detect and, optionally, prevent access violations such as “piggybacking” and “tailgating”.

Claims

1. A system for monitoring a portal or passageway and objects moving through it, comprising:

an imaging means and a light source, the imaging means and light source together creating a three-dimensional image of a scene in the portal or passageway which defines a target volume through which movement of an object is tracked by the imaging means; and

,

a processor to which information from the imaging means relating to movement of objects through the target volume is supplied, the processor executing an algorithm using the supplied information so to classify the movement through the portal or passageway and provide an indication thereof.

2. The system of claim 1 in which the imaging means is a camera and the light source is a structured light source calibrated to enable three-dimensional computation of the points of the light source visible to the camera and which corresponds to the position of a surface of the object located within or moving through the target volume.

3. The system of claim 2 in which the camera is a monocular camera and the structured light source is a laser.

4. The system of claim 2 in which the processor computes the co-ordinates of the points of the structured light source visible in the camera image, and uses the results to determine the height and depth of the object being tracked.

5. The system of claim 4 in which the processor further:

concatenates the height and depth of the object over time so to form consolidated two-dimensional topography images of the object as it passes through a plane established by the light source;

analyzes the images and segments them into objects of interest; and

,

classifies the results.

6. The system of claim 5 in which the processor further:

computes the velocity and trajectory of the object'"'"'s surface that corresponds to the points of the structured light source visible in the camera image by using template matching of a region of interest over multiple images captured during those times in which the light source is off;

generates velocity images and trajectory images;

concatenates the velocity images and trajectory images to form consolidated two-dimensional images; and

,

using the classification from the segmented image, computes the velocity and trajectory of the object as it passes through the target volume.

7. The system of claim 6 in which the processor classifies certain types of movement as an unauthorized movement event using one or more of the position, count, shape, size, volume, color, trajectory, and velocity information obtained, the objects being people and the event being used for the purpose of anti-piggybacking and anti-tailgating through a passageway which includes revolving doors, swinging doors, sliding doors, mantraps, and other portals.

8. The system of claim 7 in which the processor counts the number of people going through a hallway, portal or any virtual plane perpendicular to the ground plane.

9. The system of claim 7 in which the processor detects the movement of people or thrown objects in a wrong-way direction through the portal or passageway.

10. The system of claim 3 in which the laser is a line laser that forms a laser plane in three-dimensions, the laser operating in the near-IR range and being aligned so it is substantially horizontal in a camera image, and substantially perpendicular to the ground.

11. The system of claim 10 in which the laser is a monochromatic light source and the camera uses a bandpass filter tuned to pass wavelengths at, or adjacent to, the wavelength of the laser.

12. The system of claim 11 in which the laser is pulsed “

on” and

“

off” and

images are captured when the laser is both “

on” and

“

off”

.

13. The system of claim 12 in which the three-dimensional data points are filtered based upon a statically generated target volume and with the remaining three-dimensional data points being used to generate the depth and height information for an image.

14. The system of claim 13 in which the three-dimensional data points are filtered based upon a dynamically generated target volume and with the remaining three-dimensional data points being used to generate the depth and height information for an image.

15. The system of claim 3 utilizing a world coordinate system calibrated relative to the location of the camera and laser.

16. The system of claim 15 in which the target volume is specified relative to a portal coordinate system that is calibrated relative to the world coordinate system.

17. The system of claim 11 in which the signal-to-noise ratio of the laser relative to a background is increased by one or more of:

running an auto-exposure algorithm focused on areas where the laser is expected in the image;

subtracting images made when the laser is “

off”

from images made when the laser is “

on”

;

detecting bright lines of an expected width within an image;

combining elements of the respective images using a harmonic mean of the constituent images; and

,

accumulating and filtering the images, over time, to eliminate reflections within the images.

18. The system of claim 3 further including a plurality of one-dimensional edge detectors to detect points of the structured light source visible in the camera image.

19. The system of claim 7 which, when used with a revolving door, uses encoder signals to start and stop the processor processing, and generate an event indication.

20. The system of claim 19 in which the camera and laser are installed in a head which is mounted such that the plane of the light emitted by the laser is along an X-axis position of the door which is at 45°

at the portal entrance.

21. The system of claim 4 in which the generated height image topography is segmented using a Watershed Segmentation Algorithm.

22. The system of claim 4 further including a camera auto-exposure algorithm which is executed by the processor on a region of interest in the image, the algorithm computing a range of depths an object is expected to have and consequently a range of image positions of the laser.

23. The system of claim 4 in which the camera or laser may be blocked, camera blockage being detected by computing vertical gradients in a region of interest in images produced by the camera and their standard deviations, and laser blockage being detected by summing the number of pixels in a laser enhanced image after minimizing the effect of noise using morphology, detection of camera or laser blockage being performed to ensure that either the door or the laser is always visible.

24. The system of claim 5 in which inner and outer ellipses are computed by the processor using the height of the object and its velocity, the processor further executing a scoring algorithm on the ellipses with the inside ellipse being scored to validate the presence of an object and the outer ellipse being scored to determine if an event should be classified as a suspicious event.

25. The system of claim 5 further including a retro-reflective target positioned so to be in the background of an image produced by the camera, for detection of a reflection of the laser light in the camera image indicating that the laser and camera are operating normally.