System and method using complex centroids for detecting object-of-interest speeds from two dimensional pictures
A traffic monitoring system includes a first car moving on a first path; a camera having a field of vision including at least a portion of the first path; and a computing system. The computing system receives a plurality of images from the camera. The computing system has a processor. When instructed, the processor performs circling a perimeter of the first car on each of the images with a first rectangle; composing a first set of points, each point of the first set of points representing a center of the first rectangle; finding a first centroid using the first set of points, wherein the first centroid represents the first path; and calculating a speed of the first car using the first centroid.
1. A traffic monitoring system, comprising
a camera having a field of vision including a first car moving on a first path and at least a portion of the first path; and
a computing system, the computing system receiving a plurality of images from the camera, the computing system having a processor, when instructed, the processor performs
circling a perimeter of the first car on each of the images with a first rectangle;
composing a first set of points, each point of the first set of points representing a center of the first rectangle;
finding a first centroid using the first set of points, wherein the first centroid represents the first path and is selected from a plurality of potential centroid candidates, the first centroid produces a least summation of distances between the first centroid and the first set of points compared to other members of the plurality of potential centroid candidates; and
calculating a speed of the first car using the first centroid.
2. The traffic monitoring system according to claim 1 , wherein the first centroid is one selected from a point, a straight line, a curved line, and a plane.
3. The traffic monitoring system according to claim 2 , when the first centroid is a curved line, the first centroid is parabolic or polynominal.
4. The traffic monitoring system according to claim 1 , wherein the images are taken by the camera with a fixed time interval.
5. The traffic monitoring system according to claim 4 , wherein a first speed of the first car is calculated using the fixed time interval.
6. A monitoring system comprising
a camera having a field of vision including a first car moving on a first path and at least a portion of the first path; and
a computing system, the computing system receiving a plurality of images from the camera, the computing system having a processor, when instructed, the processor performs:
circling a perimeter of the first car on each of the images with a first rectangle;
composing a first set of points, each point of the first set of points representing a center of the first rectangle;
finding a first centroid using the first set of points, wherein the first centroid represents the first path and includes a slop parameter and a shift parameter; and
calculating a speed of the first car using the first centroid.
7. The traffic monitoring system according to claim 6 , wherein the slope parameter and the shift parameter are set as to produce a least summation of distances between the first centroid and the first set of points.
8. The traffic monitoring system according to claim 6 , wherein the first centroid is one selected from a point, a straight line, a curved line, and a plane.
9. The traffic monitoring system according to claim 8 , when the first centroid is a curved line, the first centroid is parabolic or polynominal.
10. The traffic monitoring system according to claim 6 , wherein the images are taken by the camera with a fixed time interval.
11. The traffic monitoring system according to claim 10 , wherein a first speed of the first car is calculated using the fixed time interval.
12. A traffic monitoring system, comprising
a camera having a field of vision including a first car moving on a first path and a second car moving on a second path and at least a portion of the first path; and
a computing system, the computing system receiving a plurality of images from the camera, the computing system having a processor, when instructed, the processor performs
circling a perimeter of the first car on each of the images with a first rectangle;
composing a first set of points, each point of the first set of points representing a center of the first rectangle;
finding a first centroid using the first set of point, wherein the first centroid represents the first path;
finding a second centroid representing the second path and wherein a distance between the first centroid and the second centroid is set at 12 feet; and
calculating a speed of the first car using the first centroid.
13. The traffic monitoring system according to claim 12 , wherein the first centroid is one selected from a point, a straight line, a curved line, and a plane.
14. The traffic monitoring system according to claim 13 , when the first centroid is a curved line, the first centroid is parabolic or polynominal.
15. The traffic monitoring system according to claim 12 , wherein the images are taken by the camera with a fixed time interval.
16. The traffic monitoring system according to claim 15 , wherein a first speed of the first car is calculated using the fixed time interval.
17. The traffic monitoring system according to claim 12 , wherein finding a second centroid includes
circling a perimeter of the second car on each of the images with a second rectangle;
composing a second set of points, each point of the second set of points representing a center of the second rectangle;
finding a second centroid using the second set of points, wherein the second centroid represents the second path; and
calculating a speed of the second car using the first centroid.