Jump Classification with Age and Gender Detection
The major issue is being able to identify human behaviour. The main issue for video categorization systems is common human actions in videos. For instance, a running motion will be included in a long jump or running sports film. Due to its multiple applications in areas like person monitoring, human...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2023/03/itmconf_icdsia2023_02003.pdf |
| _version_ | 1797807659052695552 |
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| author | Ghadekar Premanand Karandikar Riddhi Pawar Janhvai Sangle Prithviraj Patil Parth Patle Parul |
| author_facet | Ghadekar Premanand Karandikar Riddhi Pawar Janhvai Sangle Prithviraj Patil Parth Patle Parul |
| author_sort | Ghadekar Premanand |
| collection | DOAJ |
| description | The major issue is being able to identify human behaviour. The main issue for video categorization systems is common human actions in videos. For instance, a running motion will be included in a long jump or running sports film. Due to its multiple applications in areas like person monitoring, human-to-object interaction, and more, human action recognition is a crucial study subject in the science of computer vision. The computer vision community finds the video classification problem to be very difficult. The main reason that the video categorization problem is so challenging is the shared activities that are seen in the video. A high jump sports film, for instance, combines two distinct actions—running and high jumping—that are also shown in other videos, like running or hurdling sports videos. With just one frame that captures the specific action of the event, the human brain can quickly identify the correct occurrence in a film. By removing a few significant frames from the video and using those frames to conduct the classification procedure, the same premise may also be used in video classification systems. |
| first_indexed | 2024-03-13T06:25:56Z |
| format | Article |
| id | doaj.art-934753459a764e338051c499991c17bf |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-03-13T06:25:56Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-934753459a764e338051c499991c17bf2023-06-09T09:24:03ZengEDP SciencesITM Web of Conferences2271-20972023-01-01530200310.1051/itmconf/20235302003itmconf_icdsia2023_02003Jump Classification with Age and Gender DetectionGhadekar Premanand0Karandikar Riddhi1Pawar Janhvai2Sangle Prithviraj3Patil Parth4Patle Parul5Department of Information Technology Vishwakarma Institute of TechnologyDepartment of Information Technology Vishwakarma Institute of TechnologyDepartment of Information Technology Vishwakarma Institute of TechnologyDepartment of Information Technology Vishwakarma Institute of TechnologyDepartment of Information Technology Vishwakarma Institute of TechnologyDepartment of Information Technology Vishwakarma Institute of TechnologyThe major issue is being able to identify human behaviour. The main issue for video categorization systems is common human actions in videos. For instance, a running motion will be included in a long jump or running sports film. Due to its multiple applications in areas like person monitoring, human-to-object interaction, and more, human action recognition is a crucial study subject in the science of computer vision. The computer vision community finds the video classification problem to be very difficult. The main reason that the video categorization problem is so challenging is the shared activities that are seen in the video. A high jump sports film, for instance, combines two distinct actions—running and high jumping—that are also shown in other videos, like running or hurdling sports videos. With just one frame that captures the specific action of the event, the human brain can quickly identify the correct occurrence in a film. By removing a few significant frames from the video and using those frames to conduct the classification procedure, the same premise may also be used in video classification systems.https://www.itm-conferences.org/articles/itmconf/pdf/2023/03/itmconf_icdsia2023_02003.pdf |
| spellingShingle | Ghadekar Premanand Karandikar Riddhi Pawar Janhvai Sangle Prithviraj Patil Parth Patle Parul Jump Classification with Age and Gender Detection ITM Web of Conferences |
| title | Jump Classification with Age and Gender Detection |
| title_full | Jump Classification with Age and Gender Detection |
| title_fullStr | Jump Classification with Age and Gender Detection |
| title_full_unstemmed | Jump Classification with Age and Gender Detection |
| title_short | Jump Classification with Age and Gender Detection |
| title_sort | jump classification with age and gender detection |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2023/03/itmconf_icdsia2023_02003.pdf |
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