• Skip to primary navigation
  • Skip to main content

Aggie Research Programs

Texas A&M University

  • Research Leadership
  • Undergraduates
  • Project List
  • Team Leader Resources
  • Contacts
  • Calendar
  • FAQs
  • Show Search
Hide Search

Summer 2018 – Improvement in Segmentation Techniques in a Video Frame Using Deep Neural Nets

Affiliations:
Project Leader: Sambandh Dhal
sambandh@tamu.edu
Electrical & Computer Engineering
Faculty Mentor: Abhishek Sarmah, Ph.D.
Meeting Times:
MW 11 AM – 12:30 PM
Team Size:
0 (Team Full)
Open Spots: 0
Special Opportunities:
Team Needs:
Must be interested to learn and do research. Must be inclined to give his/her own inputs regarding the subject.
Description:
In the past, a number of different neural networks have been trained on images to achieve high accuracy in object detection. Now, we are trying to do the same across a video sequence where our main focus would be to use the motion vectors present in a compressed video to segment the objects across a live video sequence. We will track the change in the direction of the motion vectors while moving from one frame to the other and accordingly, try to detect the objects across an entire video sequence using different types of deep neural networks.

Written by:
Jennie Lamb
Published on:
February 8, 2020

Categories: FullTags: Summer 2018

Footer

Texas A&M University  |  Web Accessibility  |  Site Policies  |  Site Support

© 2021, Website by CVMBS Communications, Texas A&M College of Veterinary Medicine & Biomedical Sciences