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Gate-to-gate automated video tracking and location Sangkyu Kang*, Joonki Paik**, Besma R. Abidi***, David Shelton, Mark Mitckes, and Mongi A. Abidi
 

Summary: Gate-to-gate automated video tracking and location
Sangkyu Kang*, Joonki Paik**, Besma R. Abidi***, David Shelton, Mark Mitckes, and Mongi A. Abidi
IRIS Lab, Department of Electrical & Computer Engineering
University of Tennessee
Knoxville, TN 37996-2100
sangkyu@iristown.engr.utk.edu*, jpaik@utk.edu**, besma@utk.edu***
Abstract
An automated gate-to-gate, airport, video tracking system is proposed and simulated using a virtual three-
dimensional (3D) scale model of the airport's main concourse. The proposed research interactively
combines two state-of-the-art technologies: (i) video analysis and processing and (ii) 3D visualization and
simulation. The video tracking algorithm, which is realized by technology (i), has been developed with
emphasis on seamless handover of a moving object using multiple cameras. The simulation environment
was created based on Knoxville's McGhee-Tyson airport using Envision software by Deneb.
1. INTRODUCTION
With the number of flights out of almost every airport increasing daily, security has to be of great
concern to airport management. The most unpredictable element in any airport terminal is the number of
people walking through the halls and passageways. Tracking one person out of a crowd as the person
moves from one camera to another is a daunting task for even an experienced operator. The situation
becomes even worse if bolting occurs when someone, for whatever reason, runs from a security station
or security personnel. A bolter initiates shut down of the corresponding area, resulting in extensive delays

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences