Ship target detection and tracking in cluttered infrared imagery

Jiawei Wu; Shiyi Mao; Xiaoping Wang; Tianxu Zhang

doi:10.1117/1.3578402

1 May 2011 Ship target detection and tracking in cluttered infrared imagery

Jiawei Wu, Shiyi Mao, Xiaoping Wang, Tianxu Zhang

Author Affiliations +

Optical Engineering, Vol. 50, Issue 5, 057207 (May 2011). https://doi.org/10.1117/1.3578402

Abstract

This paper proposes a robust detection and tracking method that can detect and track ship targets in cluttered forward looking infrared image sequences. The proposed method includes two major steps, target detection and target tracking. Because the target's imaging size will be scaled-up gradually along with the imaging distance being reduced, the target's imaging process is analyzed in detail and the target's imaging size is estimated in real-time. Based on the estimation of the target's imaging size, the targets with different imaging sizes can be treated as small targets by image scaling operation and detected successfully using the improved multilevel filter and iterative segmentation technique. In the tracking stage, the histogram back-projection technique, which has little effect on the movement of the camera, is applied to the mean shift procedure for real-time application. Extensive experiments demonstrate the utility and the performance of the proposed approach.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jiawei Wu, Shiyi Mao, Xiaoping Wang, and Tianxu Zhang "Ship target detection and tracking in cluttered infrared imagery," Optical Engineering 50(5), 057207 (1 May 2011). https://doi.org/10.1117/1.3578402

Published: 1 May 2011

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