System and method for detecting, tracking, and classifying objects

• US 10,664,706 B2
• Filed: 01/10/2019
• Issued: 05/26/2020
• Est. Priority Date: 01/16/2015
• Status: Active Grant

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: Avigilon Fortress Corporation
• Inventors: Madden, Don, Shayne, Ethan
• Primary Examiner(s): Bella, Matthew C
• Assistant Examiner(s): Shin, Brian D
• Application Number:
  US16/244,419
• Publication Number:
  US 20190163983A1
• Time in Patent Office: 502 Days
• Field of Search: None
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles
• CPC Class Codes: G08G 1/015 with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles

Abstract

The present disclosure provides for a method, device, and computer-readable storage medium for performing a method for discerning a vehicle at an access control point. The method including obtaining a video sequence of the access control point; detecting an object of interest from the video sequence; tracking the object from the video sequence to obtain tracked-object data; classifying the object to obtain classified-object data; determining that the object is a vehicle based on the classified-object data; and determining that the vehicle is present in a predetermined detection zone based on the tracked-object data.

Claims

1. A method for discerning a vehicle at an access control point, the method comprising:

obtaining a first video sequence of the access control point from a first camera operable to capture video of the vehicle approaching a first gate;

detecting an object of interest from the first video sequence;

tracking the object from the first video sequence to obtain tracked-object data;

classifying the object as a class of vehicle;

determining that the vehicle is present in a predetermined detection zone of the access control point based on the tracked-object data;

controlling activation of the first gate at the access control point based on at least the class of vehicle;

obtaining a second video sequence of the access control point from a second camera operable to capture video of the vehicle approaching a second gate;

detecting the object of interest from the second video sequence;

tracking the object from the second video sequence; and

controlling activation of the second gate is based on determining if the vehicle is being tailgated.

2. The method of claim 1, further comprising:

obtaining a third video sequence of the access control point from a third camera operable to capture video of the vehicle between the first gate and the second gate;

detecting the object of interest from the third video sequence; and

tracking the object from the third video sequence.

3. A device for discerning a vehicle at an access control point, the device comprising:

a memory containing instructions; and

at least one processor, operably connected to the memory, that executes the instructions to perform operations comprising;

obtaining a video sequence of the access control point from a first camera operable to capture video of the vehicle approaching a first gate;

detecting an object of interest from the video sequence;

tracking the object from the video sequence to obtain tracked-object data;

classifying the object as a class of vehicle;

determining if the vehicle is being tailgated;

determining that the vehicle is present in a predetermined detection zone of the access control point based on the tracked-object data;

controlling activation of the first gate at the access control point based on at least the class of vehicle;

obtaining a second video sequence of the access control point from a second camera operable to capture video of the vehicle approaching a second gate;

detecting the object of interest from the second video sequence;

tracking the object from the second video sequence;

obtaining a third video sequence of the access control point from a third camera operable to capture video of the vehicle between the first gate and the second pate;

detecting the object of interest from the third video sequence; and

tracking the object from the third video sequence.

4. The device of claim 3 wherein controlling activation of the second gate is based on determining if the vehicle is being tailgated.

5. A method for discerning a vehicle at an access control point, the method comprising:

obtaining a video sequence of the access control point from a first camera operable to capture video of the vehicle approaching a first outer gate;

detecting an object of interest from the video sequence;

tracking the object from the video sequence to obtain tracked-object data;

classifying the object using a neural network classifier to obtain classified-object data;

determining that the object is the vehicle based on the classified-object data;

determining that the vehicle is present in a predetermined detection zone of the access control point based on the tracked-object data;

controlling activation of the first outer gate at the access control point based on at least the determining that the vehicle is present in the predetermined detection zone and the classified-object data;

obtaining a second video sequence of the access control point from a second camera operable to capture video of the vehicle approaching a second gate

detecting the object of interest from the second video sequence;

tracking the object from the second video sequence;

obtaining a third video sequence of the access control point from a third camera operable to capture video of the vehicle between the first gate and the second pate;

detecting the object of interest from the third second video sequence;

tracking the object from the third video sequence; and

controlling activation of a second gate based on determining that the vehicle is present in the predetermined detection zone.

6. A device for discerning a vehicle at an access control point, the device comprising:

a memory containing instructions; and

at least one processor, operably connected to the memory, that executes the instructions to perform operations comprising;

obtaining a video sequence of the access control point from a first camera operable to capture video of the vehicle approaching a first outer gate;

detecting an object of interest from the video sequence;

tracking the object from the video sequence to obtain tracked-object data;

classifying the object using a neural network classifier to obtain classified-object data, wherein the classifying is based on one or more features comprising;

Haar-like features, complex cell (C2) features, shape context features, metric size, metric velocity, or trajectory;

determining that the object is the vehicle based on the classified-object data;

determining that the vehicle is present in a predetermined detection zone of the access control point based on the tracked-object data;

controlling activation of the first outer gate at the access control point based on at least the determining that the vehicle is present in the predetermined detection zone and the classified-object data;

obtaining a second video sequence of the access control point from a second camera operable to capture video of the vehicle approaching a second gate;

detecting the object of interest from the second video sequence;

tracking the object from the second video sequence;

obtaining a third video sequence of the access control point from a third camera operable to capture video of the vehicle between the first gate and the second pate;

detecting the object of interest from the third second video sequence;

tracking the object from the third video sequence; and

controlling activation of a second gate based on determining that the vehicle is present in the predetermined detection zone.