Enabling human-automation collaborative target tracking using an array of sensors

Jason Roll; Terry Stanard; Tony Ayala; Michael Bowman

doi:10.1117/12.2224082

24 August 2016 Enabling human-automation collaborative target tracking using an array of sensors

Jason Roll, Terry Stanard, Tony Ayala, Michael Bowman

Proceedings Volume 9831, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII; 98310I (2016) https://doi.org/10.1117/12.2224082
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Intelligence, surveillance, and reconnaissance (ISR) operations in urban environments can be particularly challenging due in part to the physical proximity and height of the buildings which can occlude sensor coverage. Operational and laboratory settings have shown it is very difficult for a single operator to manually track a moving target using a set of grounded, steerable sensors within an urban environment. Although computer vision technologies are available for autotracking, they are often unreliable due to variations in lighting, visibility, and visual clutter. As a result, the Air Force Research Laboratory (AFRL) is developing novel interface technologies that leverage automation to flexibly assist a human operator with the task of tracking one or more moving targets across an array of fixed pan-tilt-zoom (PTZ) electro-optical (EO) sensors in an urban environment. Automated functions being explored by this research effort focus on maintaining visual momentum and include automated sensor steering and system-recommended perspective switching. These automated functions were compared, in addition to a baseline (no automation) condition, and operator performance improved as the level of automated assistance increased. The results of this examination indicate a necessity for surveillance technologies to incorporate automation. Further research is recommended to identify additional operator functions that could be automated to overcome the common challenges associated with real-time target tracking in an urban environment.

Citation Download Citation

Jason Roll, Terry Stanard, Tony Ayala, and Michael Bowman "Enabling human-automation collaborative target tracking using an array of sensors", Proc. SPIE 9831, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII, 98310I (24 August 2016); https://doi.org/10.1117/12.2224082

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Visualization

Switching

Image sensors

Interfaces

Video surveillance

Optical tracking

Show All Keywords

Keywords/Phrases

Search In:

Publication Years