Motion Analysis in Still Images

Authors

Presenter(s)

Reema Tharra

Comments

Presentation: 10:20-10:40 a.m., Jessie Hathcock Hall 180

Files

Description

In this project, we study the motion in still images. In particular, we collect a dataset of still images with motion. Then, we extract the saliency maps from the images. Next, we build a deep learning classifier on different image sets, namely, color images, gray scale images, and saliency map. The insights gained from this work help understand the motion analysis from still images.

Publication Date

4-19-2023

Project Designation

Graduate Research

Primary Advisor

Van Nguyen

Primary Advisor's Department

Computer Science

Keywords

Stander Symposium, College of Arts and Sciences

Recommended Citation

"Motion Analysis in Still Images" (2023). Stander Symposium Projects. 2922.
https://ecommons.udayton.edu/stander_posters/2922