Object tracking and detection in dynamic scenes
at ORAU Workforce Solutions

Date Posted: 1/13/2019

Opportunity Description

Title of Research Opportunity: Object tracking and detection in dynamic scenes Future autonomous systems will need to operate independently in highly dynamic environments with minimal supervision. This project will focus on multi-modal (at least color+depth) approaches to dynamic object tracking on mobile platforms. A particular point of emphasis will be to develop methods to automatically label data for learning, thus reducing human annotation effort. The end goal is to develop a series of capabilities such as object tracking and object proposal generation which support highly dynamic scenes. The underlying robot framework is ROS, while Tensorflow and PCL will be used for 2D and 3D perception. Required: • Linux proficiency • C++ and/or Python proficiency • ROS familiarity Desired: • Experience with dynamic tracking algorithms • PCL proficiency • TensorFlow or other deep learning architecture proficiency • Hands-on robotics experience Keywords: robotics, tracking, computer vision, ROS, PCL, RGBD

Opportunity Snapshot

About Us

Oak Ridge Associated Universities (ORAU) administers Science, Technology, Engineering and Mathematics (STEM) research participation programs for civilians such as:

The U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. Scientists and engineers at ARL help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, and more.

What is a Talent Network?

Joining our Talent Network will enhance your search and application process. Whether you choose to apply or just leave your information, we look forward to staying connected with you.

Why Join?

  • Receive alerts with new opportunities that match your interests
  • Share opportunities with family and friends through Social Media or email