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Group Trajectory Analysis in Sport Videos__final format approved LW 4-23-2021.pdf (837.98 KB)
ETD Abstract Container
Abstract Header
Group Trajectory Analysis in Sport Videos
Author Info
Duraivelan, Shreenivasan
ORCID® Identifier
http://orcid.org/0000-0001-5320-5155
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619636056814278
Abstract Details
Year and Degree
2021, Master of Computer Science (M.C.S.), University of Dayton, Computer Science.
Abstract
Trajectory Prediction is the problem of predicting the short-term and long-term spatial coordinates of various agents such as cars, buses, pedestrians. In Trajectory Prediction we use the moment of an agent’s past trajectories to predict action or course the agent is going to make in the future. It is difficult to predict trajectory of a player since various factors after the decision which a player makes, leading to his next step. We propose a model which uses video input from a sport, then extracting the data from the video to extract the players movement pattern from which the trajectory of the player is predicted through trajectory prediction Network. We implement object detection and efficient tracking to extract the players position information from the dataset. Our model has a Mean Average Displacement (MAD) of 8.35
Committee
Tam Nguyen, Ph.D. (Advisor)
James Buckley, Ph.D. (Committee Member)
Luan Nguyen, Ph.D. (Committee Member)
Pages
41 p.
Subject Headings
Computer Science
Keywords
trajectory prediction
;
trajectory analysis
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Citations
Duraivelan, S. (2021).
Group Trajectory Analysis in Sport Videos
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619636056814278
APA Style (7th edition)
Duraivelan, Shreenivasan.
Group Trajectory Analysis in Sport Videos.
2021. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619636056814278.
MLA Style (8th edition)
Duraivelan, Shreenivasan. "Group Trajectory Analysis in Sport Videos." Master's thesis, University of Dayton, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619636056814278
Chicago Manual of Style (17th edition)
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Document number:
dayton1619636056814278
Download Count:
21
Copyright Info
© 2021, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.