• Skip to primary navigation
  • Skip to main content
SRI InternationalSRI mobile logo

SRI International

SRI International - American Nonprofit Research Institute

  • About
    • Blog
    • Press room
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • QED-C
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Show Search
Hide Search
Information & computer science publications June 1, 2010 Conference Paper

3D Model Based Vehicle Classification in Aerial Imagery

SRI International June 1, 2010

Citation

Copy to clipboard


Khan, S.M., Cheng, H., Matthies, D., Sawhney, H.S., (June 2010). “3D model based vehicle classification in aerial imagery,” Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, vol., no., pp.1681,1687, 13-18.

Abstract

We present an approach that uses detailed 3D models to detect and classify objects into fine levels of vehicle categories. Unlike other approaches that use silhouette information to fit a 3D model, our approach uses complete appearance from the image. Each 3D model has a set of salient location markers that are determined a-priori. These salient locations represent a sub-sampling of 3D locations that make up the model. Scene conditions are simulated in the rendering of 3D models and the salient locations are used to bootstrap a HoG based feature classifier. HoG features are computed in both rendered and real scenes and a novel object match score the `Salient Feature Match Distribution Matrix’ is computed. For each 3D model we also learn the patterns of misalignment with other vehicle types and use it as an additional cue for classification. Results are presented on a challenging aerial video dataset consisting of vehicle imagery from various viewpoints and environmental conditions.

↓ View online

Share this

Facebooktwitterlinkedinmail

Information & computer science publications, National security publications, Publication, Robotics, sensors, & devices publications Conference Paper

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Career call to action image

Make your own mark.

Search jobs
Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Blog

Institute

Leadership

Press room

Media inquiries

Compliance

Privacy policy

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter

日本支社

SRI International

  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2022 SRI International