Motion Analysis in Still Images
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.
Primary Advisor's Department
Stander Symposium, College of Arts and Sciences
"Motion Analysis in Still Images" (2023). Stander Symposium Projects. 2922.
Presentation: 10:20-10:40 a.m., Jessie Hathcock Hall 180