Atomic action recognition and activity analysis focusing on meeting room scenarios
While human action recognition is being paid more and more attention during recent years, the accuracy increased greatly. For instance, the two-stream method [1] and LSTM based method [2] all give satisfying accuracy on normal human actions. However, when it turns to atomic actions that can happen s...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/139208 |
| _version_ | 1826128586555260928 |
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| author | Wei, Yijian |
| author2 | Tan Yap Peng |
| author_facet | Tan Yap Peng Wei, Yijian |
| author_sort | Wei, Yijian |
| collection | NTU |
| description | While human action recognition is being paid more and more attention during recent years, the accuracy increased greatly. For instance, the two-stream method [1] and LSTM based method [2] all give satisfying accuracy on normal human actions. However, when it turns to atomic actions that can happen simultaneously, the results are not very convincing. Actions that happened in a meeting room scenario are usually atomic so that it would be an ideal environment to study the action recognition model. This report focuses on the procedure on exploring possible methods on atomic action recognition and also the improvements on existing models to make it perform better on meeting room scenarios. The project covered by the report consists of two parts. The first part is to improve a model to fit the meeting room scenario. The second part is to find a method using the model to extract information from or analyzing meeting room videos to check if all the participants are paying attention. |
| first_indexed | 2024-10-01T07:27:00Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/139208 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:27:00Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1392082023-07-07T18:52:59Z Atomic action recognition and activity analysis focusing on meeting room scenarios Wei, Yijian Tan Yap Peng School of Electrical and Electronic Engineering eyptan@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Electrical and electronic engineering While human action recognition is being paid more and more attention during recent years, the accuracy increased greatly. For instance, the two-stream method [1] and LSTM based method [2] all give satisfying accuracy on normal human actions. However, when it turns to atomic actions that can happen simultaneously, the results are not very convincing. Actions that happened in a meeting room scenario are usually atomic so that it would be an ideal environment to study the action recognition model. This report focuses on the procedure on exploring possible methods on atomic action recognition and also the improvements on existing models to make it perform better on meeting room scenarios. The project covered by the report consists of two parts. The first part is to improve a model to fit the meeting room scenario. The second part is to find a method using the model to extract information from or analyzing meeting room videos to check if all the participants are paying attention. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-18T03:59:58Z 2020-05-18T03:59:58Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139208 en A3290-191 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Electrical and electronic engineering Wei, Yijian Atomic action recognition and activity analysis focusing on meeting room scenarios |
| title | Atomic action recognition and activity analysis focusing on meeting room scenarios |
| title_full | Atomic action recognition and activity analysis focusing on meeting room scenarios |
| title_fullStr | Atomic action recognition and activity analysis focusing on meeting room scenarios |
| title_full_unstemmed | Atomic action recognition and activity analysis focusing on meeting room scenarios |
| title_short | Atomic action recognition and activity analysis focusing on meeting room scenarios |
| title_sort | atomic action recognition and activity analysis focusing on meeting room scenarios |
| topic | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/139208 |
| work_keys_str_mv | AT weiyijian atomicactionrecognitionandactivityanalysisfocusingonmeetingroomscenarios |