Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

2020

Artificial Intelligence and Robotics

University of Massachusetts Amherst

Optical flow

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Understanding The Dynamic Visual World: From Motion To Semantics, Huaizu Jiang Dec 2020

Understanding The Dynamic Visual World: From Motion To Semantics, Huaizu Jiang

Doctoral Dissertations

We live in a dynamic world, which is continuously in motion. Perceiving and interpreting the dynamic surroundings is an essential capability for an intelligent agent. Human beings have the remarkable capability to learn from limited data, with partial or little annotation, in sharp contrast to computational perception models that rely on large-scale, manually labeled data. Reliance on strongly supervised models with manually labeled data inherently prohibits us from modeling the dynamic visual world, as manual annotations are tedious, expensive, and not scalable, especially if we would like to solve multiple scene understanding tasks at the same time. Even worse, in …


Motion Segmentation - Segmentation Of Independently Moving Objects In Video, Pia Katalin Bideau Mar 2020

Motion Segmentation - Segmentation Of Independently Moving Objects In Video, Pia Katalin Bideau

Doctoral Dissertations

The ability to recognize motion is one of the most important functions of our visual system. Motion allows us both to recognize objects and to get a better understanding of the 3D world in which we are moving. Because of its importance, motion is used to answer a wide variety of fundamental questions in computer vision such as: (1) Which objects are moving independently in the world? (2) Which objects are close and which objects are far away? (3) How is the camera moving?
My work addresses the problem of moving object segmentation in unconstrained videos. I developed a probabilistic …