SYSTEM FOR COLLISION PREDICTION AND TRAFFIC VIOLATION DETECTION

• US 20130093895A1
• Filed: 10/17/2011
• Published: 04/18/2013
• Est. Priority Date: 10/17/2011
• Status: Abandoned Application

• Current Assignee: Ofer Netanel Aharoni, Samuel David Palmer
• Original Assignee: Ofer Netanel Aharoni, Samuel David Palmer
• Inventors: Palmer, Samuel David, Aharoni, Ofer Netanel
• Application Number:
  US13/274,476
• Publication Number:
  US 20130093895A1
• Time in Patent Office: Days
• US Class Current: 348/149
• CPC Class Codes: G08G 1/04 using optical or ultrasonic detectors
• CPC Class Codes: G08G 1/052 with provision for determining speed or overspeed speed measuring in general G01P
• CPC Class Codes: G08G 1/164 Centralised systems, e.g. external to vehicles

Abstract

The invention refers to a system for monitoring, analyzing and reporting incidences of traffic violations at a predetermined area in real-time, prospectively or retrospectively. Specifically, the invention refers to a system and method of monitoring, analyzing, predicting and reporting or warning the incidence of a past or imminent traffic violation by acquiring a moving object within a predetermined boundary, assigning a path to the moving object and based on a plurality of thresholds, determining the likelihood of a traffic violation type and occurrence.

Claims

1. A method of detecting a traffic violation, the method comprising the steps of:

a. using a video source, obtaining a reference frame of a defined monitored area;

b. defining region boundaries within the monitored area;

c. optionally defining time span values for each region;

d. acquiring one or more moving objects within the defined area;

e. associating the acquired object with a previously acquired or a new trajectory;

f. Detecting a violation wherein, if the acquired or new trajectory crosses the predetermined region boundaries in a specific sequence and the trajectory crosses each region during the optionally defined time span a threshold has been violated and a traffic violation has occurred.

4. The method of any one of claims 1-3 wherein the step of acquiring one or more moving objects comprises the steps of:

a. using the video source, obtaining a reference frame;

b. using the video source, obtaining subsequent frames;

c. comparing the change in pixel values between each frame and the reference frame; and

d. aggregating the pixels qualifying under the predetermined criteria to a blob, wherein each blob represents a single moving object.

5. The method of claim 4, comprising the step of assigning a trajectory to each blob.

6. The method of claim 1, wherein the step of obtaining a reference frame further comprises updating the reference frame every 1 minute to 12 hours.

7. The method of any one of claims 1-3, wherein the step of obtaining a reference frame further comprises assigning a value to each pixel in the reference frame.

8. The method of any one of claims 1-3, wherein the step of defining region boundaries within the monitored area comprises defining any form of geometric shape within the reference frame.

9. The method of claim 1, wherein the video source is a video camera, a MPG, MPEG, AVI, MOV, WMV, or ASF video file.

2. A method of predicting a collision between two or more moving objects, the method comprising the steps of:

a. using a video source, obtaining a reference frame of a defined monitored area;

b. based on a predetermined criteria, defining a plurality of parameters within the defined area such as at what distance from the predicted collision should affected parties be notified;

c. acquiring a plurality of moving objects within the defined area;

d. associating each acquired object with a previously acquired or a new trajectory in real time;

e. analyzing the acquired or new trajectories of the moving objects, whereby if two or more trajectories intersect and both objects will arrive at the intersection point within a predetermined time, a threshold has been violated and a collision is likely to occur.

10. The method of any one of claims 2, 3 and 9, further comprising the step of saving an analysis data of the violation.

11. The method of claim 10, further comprising storing the analysis data on a computer readable media.

12. The method of claim 10, further comprising the step of transmitting the analysis data to a remote server.

3. A method for analyzing a traffic violation associated with failure to give a right of way within a predetermined area, or dangerous driving, the method comprising the steps of:

a. using a video source, obtaining a reference frame of a defined monitored area;

b. based on a predetermined criteria, defining a plurality of parameters within the defined area such as a plurality of regions where each region'"'"'s precedence over all other regions is defined;

c. acquiring a plurality of moving objects within the defined area;

d. associating each acquired object with a previously acquired or a new trajectory in real time;

e. analyzing the acquired or new trajectories of the moving objects, whereby based on the predetermined parameters if two or more trajectories converge within a predetermined time, and one of the moving objects shows a sudden change in trajectory prior to the intersection point, and it can be determined based on region precedence that the object had precedence a threshold has been violated and a failure to give right of way has occurred.

13. A system for monitoring, determining and reporting a traffic violation, the system comprising:

a. a digital video source;

b. an integral processor, the integral processor operably connected to the video source and capable of;

i. acquiring at least one object within a predetermined defined area obtained from the video source;

ii. identifying motion of the acquired object

iii. assigning the acquired object to a trajectory

iv. detecting a violation based on predefined thresholds

v. creating and saving analysis data; and

c. a transmitter, capable of transmitting the analysis data to a remote user.

14. The system of claim 13, wherein the digital video source is a camera or a video file.

15. The system of claim 14, wherein the video file is in MPG, MPEG, AVI, MOV, WMV, or ASF format.

16. The system of claim 14, further comprising a memory, a screen or their combination operably connected to a computer.

17. The system of claim 14, wherein the transmitter is a MIMO transmitter having a RF terminal, a WWAN terminal, a WLAN terminal or a combination thereof.

18. The system of claim 14, wherein the remote user accesses the data via internet.

19. The system of claim 18, wherein the analysis data is transmitted via internet to a moving vehicle acquired by the system in the form of a collision warning.

20. The system of claim 19, wherein the collision is between the moving vehicle and another moving vehicle.

21. The system of claim 19, wherein the collision is between the moving vehicle and a stationary object.