Detection, classification, and tracking of compact objects in video imagery

Mark J. Carlotto; Mark A. Nebrich

doi:10.1117/12.919859

17 May 2012 Detection, classification, and tracking of compact objects in video imagery

Mark J. Carlotto, Mark A. Nebrich

Author Affiliations +

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 83921F (2012) https://doi.org/10.1117/12.919859
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

A video data conditioner (VDC) for automated full-motion video (FMV) detection, classification, and tracking is described. VDC extends our multi-stage image data conditioner (IDC) to video. Key features include robust detection of compact objects in motion imagery, coarse classification of all detections, and tracking of fixed and moving objects. An implementation of the detection and tracking components of the VDC on an Apple iPhone is discussed. Preliminary tracking results of naval ships captured during the Phoenix Express 2009 Photo Exercise are presented.

Citation Download Citation

Mark J. Carlotto and Mark A. Nebrich "Detection, classification, and tracking of compact objects in video imagery", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921F (17 May 2012); https://doi.org/10.1117/12.919859

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