A new image fusion algorithm of dynamic contour based on IR and visible sensors

Peng Zhao; Ni Hong Wang; A. Chuan Wang; Sen Wang

doi:10.1117/12.602307

25 May 2005 A new image fusion algorithm of dynamic contour based on IR and visible sensors

Peng Zhao, Ni Hong Wang, A. Chuan Wang, Sen Wang

Proceedings Volume 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV; (2005) https://doi.org/10.1117/12.602307
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

IR and visible sensors are commonly used in tracking and recognition system of targets. Image fusion for these sensors can effectively improve system's accuracy of tracking and detection. But sampling rates of these sensors are usually different so that a new feature level image fusion scheme is devised in this paper. This scheme is universal and can be widely used in the detection and tracking of moving target when sampling rates of these sensors are largely different (i.e. radar and visible image). This fusion scheme is divided into two parts which are asynchronous and synchronous fusion. Target's contour is represented by dynamic contour. In asynchronous fusion, for the sensor with high sampling rate a multiple sequence image fusion method is devised based on statistical filtering model to get measurement estimation of target's contour. Then in synchronous fusion a real-time differential coupling is implemented for the estimation from asynchronous fusion and the image from the sensor with low sampling rate in order to effectively restrict convergent shape of dynamic contour in visible image. Contrasting simulation experiment proves our fusion scheme's efficacy and average tracking error in visible image with fusion has decreased by 68.31%.

Citation Download Citation

Peng Zhao, Ni Hong Wang, A. Chuan Wang, and Sen Wang "A new image fusion algorithm of dynamic contour based on IR and visible sensors", Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); https://doi.org/10.1117/12.602307

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