Frequency-based aerial video recognition

Divya Kothandaraman; Xijun Wang; Tianrui Guan; Sean Hu; Ming Lin; Dinesh Manocha

doi:10.1117/12.2663491

12 June 2023 Frequency-based aerial video recognition

Divya Kothandaraman, Xijun Wang, Tianrui Guan, Sean Hu, Ming Lin, Dinesh Manocha

Proceedings Volume 12544, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023; 125440J (2023) https://doi.org/10.1117/12.2663491
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Aerial video recognition is challenging due to various factors. Prior work on action recognition imposes constraints in terms of unavailability of object detection bounding box ground-truth inhibiting the application of localization models and computational constraints preventing the usage of expensive space-time self-attention. Optical flow and pretrained models for detecting human actor performing action do not work too well due to domain gap issues. Our contributions1, 2 are as follows: 1. We present a frequency-domain space-time attention method that encapsulates long-range space-time dependencies by emulating the weighted outer product in the frequency domain. 2. We present a frequency-based object background disentanglement method to inherently separate out the moving human actor from the background. 3. We present a mathematical model for static salient regions and an identity loss function to learn disentangled features in a differentiable manner.

Conference Presentation

Citation Download Citation

Divya Kothandaraman, Xijun Wang, Tianrui Guan, Sean Hu, Ming Lin, and Dinesh Manocha "Frequency-based aerial video recognition", Proc. SPIE 12544, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023, 125440J (12 June 2023); https://doi.org/10.1117/12.2663491

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