Visual surveillance coverage: strategies and metrics

Jacob Everist; T. Nathan Mundhenk; Chris Landauer; Kirstie Bellman

doi:10.1117/12.630943

24 October 2005 Visual surveillance coverage: strategies and metrics

Jacob Everist, T. Nathan Mundhenk, Chris Landauer, Kirstie Bellman

Proceedings Volume 6006, Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision; 600608 (2005) https://doi.org/10.1117/12.630943
Event: Optics East 2005, 2005, Boston, MA, United States

Abstract

Many sensor systems such as security cameras and satellite photography are faced with the problem of where they should point their sensors at any given time. With directional control of the sensor, the amount of space available to cover far exceeds the field-of-view of the sensor. Given a task domain and a set of constraints, we seek coverage strategies that achieve effective area coverage of the environment. We develop metrics that measure the quality of the strategies and give a basis for comparison. In addition, we explore what it means for an area to be "covered" and how that is affected by the domain, the sensor constraints, and the algorithms. We built a testbed in which we implement and run various sensor coverage strategies and take measurements on their performance. We modeled the domain of a camera mounted on pan and tilt servos with appropriate constraints and time delays on movement. Next, we built several coverage strategies for selecting where the camera should look at any given time based on concepts such as force-mass systems, scripted movements, and the time since an area was last viewed. Finally, we describe several metrics with which we can compare the effectiveness of different coverage strategies. These metrics are based on such things as how well the whole space is covered, how relevant the covered areas are to the domain, how much time is spent acquiring data, how much time is wasted while moving the servos, and how well the strategies detect new objects moving through space.

Citation Download Citation

Jacob Everist, T. Nathan Mundhenk, Chris Landauer, and Kirstie Bellman "Visual surveillance coverage: strategies and metrics", Proc. SPIE 6006, Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision, 600608 (24 October 2005); https://doi.org/10.1117/12.630943

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