Motion Analysis in Still Images

Motion Analysis in Still Images

    Presenter(s)

    Reema Tharra

    Comments

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

    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

    Motion Analysis in Still Images

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