Metadata learning of non-visual features: co-occurrence overlap function for rectangular regions and ground truth data

Vasanth Iyer; Asif Mehmood

doi:10.1117/12.2558829

20 May 2020 Metadata learning of non-visual features: co-occurrence overlap function for rectangular regions and ground truth data

Vasanth Iyer, Asif Mehmood

Author Affiliations +

Proceedings Volume 11400, Pattern Recognition and Tracking XXXI; 1140007 (2020) https://doi.org/10.1117/12.2558829
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

To incorporate object locations in a multi-target detection model, we assume that a close duplicate cannot be learned by the model efficiently. So, we use a region-based approach which uses more object location compared to the ground truth locations to localize the targets. The proposed model is able to learn a similarity metric with respect to the ground truth locations which is robust (low false positives) enough for varying images conditions, small aerial target sizes and using few training samples. We report preliminary results on how transfer learning of meta-data a effects small aerial target localization accuracies. Quality ranking from Intersection-over-Union (IOU) in region segmentation models on the aerial ground truth data using pre-trained models from ImageNet, AlexNet, and CIFAR-10 and initialization with three aerial datasets such as the satellite imagery XView2.

Conference Presentation

Citation Download Citation

Vasanth Iyer and Asif Mehmood "Metadata learning of non-visual features: co-occurrence overlap function for rectangular regions and ground truth data", Proc. SPIE 11400, Pattern Recognition and Tracking XXXI, 1140007 (20 May 2020); https://doi.org/10.1117/12.2558829

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