Basketball player identification by jersey and number recognition
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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Brac University
2019
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| Länkar: | http://hdl.handle.net/10361/11759 |
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10361-11759 |
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10361-117592022-01-26T10:23:14Z Basketball player identification by jersey and number recognition Ahammed, Zubaer Ali, Dr. Md. Haider Department of Computer Science and Engineering, Brac University Basketball Identification Jersey color RGB color space Template matching Sports sciences. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 28-33). We are interested in the problem of automatically tracking and identifying players in sports video. While there are many automatic multi-target tracking methods, in sports video, it is difficult to track multiple players due to frequent occlusions, quick motion of players and camera, and camera position. We propose tracking method that associates tracklets of a same player using results of player number recognition. To deal with frequent occlusions, we detect human region by level set method and then estimates if it is occluded group region or unconcluded individual one. This Thesis paper gives a brief description about each paper/technology in the field of ―Player Detection and Mapping Techniques in Sport Videos. Recognition of players in pictures of sporting events is an approachable but tough task. In the case of an NBA game, this task can be accomplished by compartmentalizing the job. By characterizing jersey color with MAP detection, isolating the jerseys and numbers, and using template matching, we can make a max-effort algorithm that identify as many players as possible. Zubaer Ahammed B. Computer Science and Engineering 2019-04-24T10:08:30Z 2019-04-24T10:08:30Z 2018 2018-07 Thesis ID 16141028 http://hdl.handle.net/10361/11759 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 33 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Basketball Identification Jersey color RGB color space Template matching Sports sciences. |
| spellingShingle |
Basketball Identification Jersey color RGB color space Template matching Sports sciences. Ahammed, Zubaer Basketball player identification by jersey and number recognition |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Ali, Dr. Md. Haider |
| author_facet |
Ali, Dr. Md. Haider Ahammed, Zubaer |
| format |
Thesis |
| author |
Ahammed, Zubaer |
| author_sort |
Ahammed, Zubaer |
| title |
Basketball player identification by jersey and number recognition |
| title_short |
Basketball player identification by jersey and number recognition |
| title_full |
Basketball player identification by jersey and number recognition |
| title_fullStr |
Basketball player identification by jersey and number recognition |
| title_full_unstemmed |
Basketball player identification by jersey and number recognition |
| title_sort |
basketball player identification by jersey and number recognition |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11759 |
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AT ahammedzubaer basketballplayeridentificationbyjerseyandnumberrecognition |
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1814309628277686272 |