An initial investigation into incorporating human reports into a road-constrained random set tracker

David W. Winters; James B. Witkoskie; Walter S. Kuklinski

doi:10.1117/12.777142

17 April 2008 An initial investigation into incorporating human reports into a road-constrained random set tracker

David W. Winters, James B. Witkoskie, Walter S. Kuklinski

Proceedings Volume 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII; 69680Q (2008) https://doi.org/10.1117/12.777142
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Road-constrained tracking of multiple targets poses a challenge for standard tracking algorithms due to possible target/road ambiguities. The random set approach accepts the existence of ambiguity and tracks the probability density associated with each target/road hypothesis. Measurements from multiple sensors are used to update these densities via random set analogues of the Bayesian filtering equations. Reports from humans have the potential to complement and augment data provided by sensors. A challenge with incorporating human reports is that the reports' vagueness and ambiguity lead to many possible interpretations. We propose a method for incorporating human reports into a road-constrained random set tracker (RST). Our proposed approach involves mapping a human report into multiple plausible precise measurements. These precise measurements are used to update the global density in a manner similar to the sensor measurement case. We validated our approach using a simulated road network scenario, consisting of multiple sensors and targets and a simple human observer model. The human observer's reports contained coarse information about the number and relative location of the targets within a field of view. These human reports are mapped to multiple groups of plausible measurements consisting of ranges and bearing angles with large errors. The performance of the RST with and without the human reports is compared. A quantitative metric indicates that the inclusion of the human reports increases the belief of the RST in the correct target/road hypothesis.

Citation Download Citation

David W. Winters, James B. Witkoskie, and Walter S. Kuklinski "An initial investigation into incorporating human reports into a road-constrained random set tracker", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680Q (17 April 2008); https://doi.org/10.1117/12.777142

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
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Roads

Sensors

Radar

Target detection

Acoustics

Detection and tracking algorithms

Filtering (signal processing)

Show All Keywords

Keywords/Phrases

Search In:

Publication Years