Feature-aided multiple target tracking in the image plane

Andrew P. Brown; Kevin J. Sullivan; David J. Miller

doi:10.1117/12.666143

9 May 2006 Feature-aided multiple target tracking in the image plane

Andrew P. Brown, Kevin J. Sullivan, David J. Miller

Proceedings Volume 6229, Intelligent Computing: Theory and Applications IV; 62290Q (2006) https://doi.org/10.1117/12.666143
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Vast quantities of EO and IR data are collected on airborne platforms (manned and unmanned) and terrestrial platforms (including fixed installations, e.g., at street intersections), and can be exploited to aid in the global war on terrorism. However, intelligent preprocessing is required to enable operator efficiency and to provide commanders with actionable target information. To this end, we have developed an image plane tracker which automatically detects and tracks multiple targets in image sequences using both motion and feature information. The effects of platform and camera motion are compensated via image registration, and a novel change detection algorithm is applied for accurate moving target detection. The contiguous pixel blob on each moving target is segmented for use in target feature extraction and model learning. Feature-based target location measurements are used for tracking through move-stop-move maneuvers, close target spacing, and occlusion. Effective clutter suppression is achieved using joint probabilistic data association (JPDA), and confirmed target tracks are indicated for further processing or operator review. In this paper we describe the algorithms implemented in the image plane tracker and present performance results obtained with video clips from the DARPA VIVID program data collection and from a miniature unmanned aerial vehicle (UAV) flight.

Citation Download Citation

Andrew P. Brown, Kevin J. Sullivan, and David J. Miller "Feature-aided multiple target tracking in the image plane", Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 62290Q (9 May 2006); https://doi.org/10.1117/12.666143

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