Ms. Minling Ma Profile

Minling Ma

at Nanjing Univ of Science and Technology

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 24 November 2021 Paper

Real-time infrared small target search and tracking algorithm based on adaptive track correlation

Minling Ma, Weixian Qian

Proceedings Volume 12061, 120610W (2021) https://doi.org/10.1117/12.2605289

KEYWORDS: Target detection, Detection and tracking algorithms, Infrared radiation, Infrared search and track, Infrared imaging, Target recognition, Thermography, Infrared detectors, Optical tracking

Read Abstract +

In this paper, the imaging characteristics and motion characteristics of small targets in infrared images are analyzed from the perspective of space domain and time domain respectively, and a real-time infrared small target search and tracking algorithm based on adaptive track correlation is proposed. From the perspective of spatial domain, the curvature filtering algorithm is used to suppress the background according to the feature that the small target usually presents a sharp peak on the 3D surface with gray value as Z-axis. From the perspective of time domain, according to the difference of motion state between the target and the false alarm point, the track correlation method is used to further suppress the false alarm rate and realize the search and tracking of the target. In this paper, the concept of cosine similarity is introduced to judge the matching degree between suspected target and track on the basis of the traditional track correlation algorithm based on the idea of "nearest neighborhood", so as to reduce the probability of wrong track correlation. At the same time, based on residual analysis, the correlation gate size is selected adaptively and the observation results are smoothing by adaptive first-order low-pass filtering. Experiments show that the search and tracking algorithm proposed in this paper has real-time performance and high accuracy, and has good adaptability to different scenes.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years