Mr. Mark L. Bruneau Profile

Mark L. Bruneau

at Deep Analytics LLC

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 | 27 May 2022 Presentation + Paper

Real-time VL/IR video fusion leveraging multiple VL apertures on resource-constrained computing platform

Anna Svagzdys, Richard Demar, Gregory Hewitt, Mark Bruneau

Proceedings Volume 12107, 121071I (2022) https://doi.org/10.1117/12.2618387

KEYWORDS: Cameras, Infrared cameras, Infrared imaging, Video, Image registration, Image processing, Video acceleration, Imaging systems, Video processing, Thermography

Read Abstract +

We present an approach to automatic visible light/infrared (VL/IR) image registration that leverages multiple visible light apertures for fast computation on resource-constrained systems. VL/IR registration is computationally challenging due to the different modalities of image generation. Although feature-based algorithms for direct registration exist, these methods proved too complex to reliably perform registration on low-cost, embedded processors in real time. We instead employed a second VL camera to dynamically estimate 2D translations aligning the brightest (warmest) objects in the IR video stream with their counterparts in the first VL video stream. Regions of interest are first selected based on the brightest areas in the IR image, as our application is primarily concerned with detecting objects warmer than background. The same broad region - e.g. the lower-left quadrant of the frame - is then selected in the VL1 and VL2 images. The translation that best registers the first VL ROI to the second is estimated through template matching. Because all apertures in our camera system are fixed and coplanar relative to one another, the translation that best aligns the IR ROI to the VL1 ROI can be estimated from the translation from the VL2 ROI to the VL1 ROI. This approach provides dynamic registration of 1080P video at upwards of 10Hz on an ODROID-XU4 single-board computer, while also allowing the processor time to render the IR-augmented video stream at 20Hz. Imagery collected using Deep Analytics’ IR Boom Camera will be presented to demonstrate the approach.

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