Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing
Gait recognition is gaining popularity as it can recognize people in a non-intrusive and a non-contact manner. However, gait recognition is known for its susceptibility to clothing conditions. In this paper, we propose a solution specific to clothing conditions in the Gulf region where Abaya and Kan...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| التنسيق: | article |
| منشور في: |
2019
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/21365 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513438823219200 |
|---|---|
| author | Towheed, Mohammad Asif |
| author2 | Kiyani, Wasif Ummar, Mumtaz Shanableh, Tamer Dhou, Salam |
| author2_role | author author author author |
| author_facet | Towheed, Mohammad Asif Kiyani, Wasif Ummar, Mumtaz Shanableh, Tamer Dhou, Salam |
| author_role | author |
| dc.creator.none.fl_str_mv | Towheed, Mohammad Asif Kiyani, Wasif Ummar, Mumtaz Shanableh, Tamer Dhou, Salam |
| dc.date.none.fl_str_mv | 2019 2021-03-14T11:28:07Z 2021-03-14T11:28:07Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | M. A. Towheed, W. Kiyani, M. Ummar, T. Shanableh and S. Dhou, "Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing," 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, United Arab Emirates, 2019, pp. 1-6, doi: 10.1109/AICCSA47632.2019.9035284. 978-1-7281-5052-9 2161-5330 http://hdl.handle.net/11073/21365 10.1109/AICCSA47632.2019.9035284 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/AICCSA47632.2019.9035284 |
| dc.subject.none.fl_str_mv | Gait recognition Computer Vision Motion analysis Image processing |
| dc.title.none.fl_str_mv | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Gait recognition is gaining popularity as it can recognize people in a non-intrusive and a non-contact manner. However, gait recognition is known for its susceptibility to clothing conditions. In this paper, we propose a solution specific to clothing conditions in the Gulf region where Abaya and Kandura are considered traditional clothing. The paper proposes a solution capable of training users based on traditional clothing and recognizing them in Western style clothing and vice-a-versa. The solution uses depth imaging, optical flow, accumulated motion and Discrete Cosine Transformation (DCT). Motion is calculated from consecutive images where the magnitudes and phases of motion vectors are accumulated into separate matrices. DCT and zonal coding is then applied to these matrices to form one concise feature vector that represents a walk. Experimental results, with 38 participants, showed that the proposed method is suitable for gait recognizing with such clothing constraints. The average classification accuracy is 88%. In comparison to an existing method, it is shown that the proposed method results in much more accurate recognition results yet at a higher computational cost. |
| format | article |
| id | aus_8f4b100a75680350a16dc53783e2e6b8 |
| identifier_str_mv | M. A. Towheed, W. Kiyani, M. Ummar, T. Shanableh and S. Dhou, "Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing," 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, United Arab Emirates, 2019, pp. 1-6, doi: 10.1109/AICCSA47632.2019.9035284. 978-1-7281-5052-9 2161-5330 10.1109/AICCSA47632.2019.9035284 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21365 |
| publishDate | 2019 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf ClothingTowheed, Mohammad AsifKiyani, WasifUmmar, MumtazShanableh, TamerDhou, SalamGait recognitionComputer VisionMotion analysisImage processingGait recognition is gaining popularity as it can recognize people in a non-intrusive and a non-contact manner. However, gait recognition is known for its susceptibility to clothing conditions. In this paper, we propose a solution specific to clothing conditions in the Gulf region where Abaya and Kandura are considered traditional clothing. The paper proposes a solution capable of training users based on traditional clothing and recognizing them in Western style clothing and vice-a-versa. The solution uses depth imaging, optical flow, accumulated motion and Discrete Cosine Transformation (DCT). Motion is calculated from consecutive images where the magnitudes and phases of motion vectors are accumulated into separate matrices. DCT and zonal coding is then applied to these matrices to form one concise feature vector that represents a walk. Experimental results, with 38 participants, showed that the proposed method is suitable for gait recognizing with such clothing constraints. The average classification accuracy is 88%. In comparison to an existing method, it is shown that the proposed method results in much more accurate recognition results yet at a higher computational cost.IEEE2021-03-14T11:28:07Z2021-03-14T11:28:07Z2019Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfM. A. Towheed, W. Kiyani, M. Ummar, T. Shanableh and S. Dhou, "Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing," 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, United Arab Emirates, 2019, pp. 1-6, doi: 10.1109/AICCSA47632.2019.9035284.978-1-7281-5052-92161-5330http://hdl.handle.net/11073/2136510.1109/AICCSA47632.2019.9035284en_UShttps://doi.org/10.1109/AICCSA47632.2019.9035284oai:repository.aus.edu:11073/213652024-08-22T12:07:07Z |
| spellingShingle | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing Towheed, Mohammad Asif Gait recognition Computer Vision Motion analysis Image processing |
| status_str | publishedVersion |
| title | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing |
| title_full | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing |
| title_fullStr | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing |
| title_full_unstemmed | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing |
| title_short | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing |
| title_sort | Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing |
| topic | Gait recognition Computer Vision Motion analysis Image processing |
| url | http://hdl.handle.net/11073/21365 |