Video Tracking with Biometrics Virtual Mantrap (VMT)

In this project intuVision has designed and developed a prototype system that uses video analytics to implement a “one person at a time enter/exit policy” to secure areas. The Virtual Mantrap controls the flow of people through designated zones with audiovisual cues and warnings. In order to ensure that the cues are obeyed and to determine when to sound warnings, intelligent video is employed. When a person enters security information, in the form of a biometrics scan or a security card, the surveillance video ensures that employee is the only one to enter the secured area. If any other person attempts to enter the area without entering his/her information, the video analytics catches this event in real time, issuing a warning to the security staff. The Virtual Mantrap System includes 3 designated zones that can be marked on the video scene, corresponding to the following zones on the floor as depicted in the graphic below.

a diagram shows the layout of the zones of the virtual mantrap. close to the door is the outer security zone, where the intelligent video camera allows one person to be while they use the biometric or card scanning device. outside of that, away from the door, is the guard zone, which is the alert area of the surveillance system, monitoring for someone who is tagging along behind the employee. on the other side of the door is the inner security zone.

Guard Zone: The watch area adjacent to the outer security zone.
Outer Security Zone: The area immediately outside the secure area door, it includes a biometric access control device.
Inner Security Zone: The area inside the secure area door.

As people are tracked with the video analytics between these zones, their actions define a set of events. These events are composed of information from observations of existence and the position of people in the zones, Iris-scan and Face Recognition Biometrics, and the secure area door “open/close” status. This information is determined in real time and if the accumulated information corresponds with unwanted events, alarms are triggered in a variety of customizable ways. An example of an unwanted event is: the person performs an Iris-Scan, but instead of entering the room, steps aside and allows another person, who did not perform an Iris-Scan, to enter the room.

Click to download a demonstration clip of the system (9 MBs)

Unique capabilities of this system

A robust implementation for tracking objects between multiple camera views based on object motion, position and appearance models.

A state machine was developed to model the current status of each “zone” and the state of the door and the access control systems. This approach was chosen in order to consistently combine the status information from multiple “zones” and the component systems.

A unified framework for video tracking and biometric (Face and Iris) access control system metadata transfer which embeds the known ID of tracked people as metadata into object tracking.