Person Re-Identification using Background Subtraction and Siamese Network for Pose Varians
Person Re-Identification is a process where the algorithm in charge of matching the similarity of two objects . This method can be used as an alternative solution for the current traditional security surveillance . Many modern technologies that use this model, especially in the use of Video Surv...
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| Format: | Other |
| Language: | English |
| Published: |
Proceedings - 2022 8th International Conference on Science and Technology, ICST 2022
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/284292/1/179.Person_Re-Identification_using_Background_Subtraction_and_Siamese_Network_for_Pose_Varians.pdf |
| _version_ | 1797037828544135168 |
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| author | Nabila, Elsa Serli Wahyono, Wahyono |
| author_facet | Nabila, Elsa Serli Wahyono, Wahyono |
| author_sort | Nabila, Elsa Serli |
| collection | UGM |
| description | Person Re-Identification is a process where the
algorithm in charge of matching the similarity of two objects .
This method can be used as an alternative solution for the current
traditional security surveillance . Many modern technologies
that use this model, especially in the use of Video Surveillance .
The expected output from the use of this model is the process of
monitoring and detecting the similarity of two human objects
more efficiently and accurately . However , in its implementation
there are still many problems found by previous researchers
related to Person Identification . Some of the problems that are
often encountered in re-identification are image occlusion , pose
variance , illuminati , etc. One of the problems that occur is the
difference in poses , the difference in poses causes the re -
identification process to often experience errors because the
features obtained by the two images may experience differences .
In this study , trying to implement the algorithm on a video
dataset . There is an additional preprocessing which uses the
image segmentation method to extract objects from the video
dataset . After pre -processing , the image obtained will be reidentified
using the Siamese Network Algorithm. The test results
obtained an accuracy of 51% and 54% for each architecture .
While the accuracy value of object detection obtained is 0.359
and 0.378 , which means that the addition of segmentation
using the background subtraction model when
compared to
previous studies is still not effective in dealing with the problem of
different poses |
| first_indexed | 2024-03-14T00:09:56Z |
| format | Other |
| id | oai:generic.eprints.org:284292 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:09:56Z |
| publishDate | 2022 |
| publisher | Proceedings - 2022 8th International Conference on Science and Technology, ICST 2022 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2842922023-12-07T06:10:21Z https://repository.ugm.ac.id/284292/ Person Re-Identification using Background Subtraction and Siamese Network for Pose Varians Nabila, Elsa Serli Wahyono, Wahyono Information and Computing Sciences Person Re-Identification is a process where the algorithm in charge of matching the similarity of two objects . This method can be used as an alternative solution for the current traditional security surveillance . Many modern technologies that use this model, especially in the use of Video Surveillance . The expected output from the use of this model is the process of monitoring and detecting the similarity of two human objects more efficiently and accurately . However , in its implementation there are still many problems found by previous researchers related to Person Identification . Some of the problems that are often encountered in re-identification are image occlusion , pose variance , illuminati , etc. One of the problems that occur is the difference in poses , the difference in poses causes the re - identification process to often experience errors because the features obtained by the two images may experience differences . In this study , trying to implement the algorithm on a video dataset . There is an additional preprocessing which uses the image segmentation method to extract objects from the video dataset . After pre -processing , the image obtained will be reidentified using the Siamese Network Algorithm. The test results obtained an accuracy of 51% and 54% for each architecture . While the accuracy value of object detection obtained is 0.359 and 0.378 , which means that the addition of segmentation using the background subtraction model when compared to previous studies is still not effective in dealing with the problem of different poses Proceedings - 2022 8th International Conference on Science and Technology, ICST 2022 2022 Other NonPeerReviewed application/pdf en https://repository.ugm.ac.id/284292/1/179.Person_Re-Identification_using_Background_Subtraction_and_Siamese_Network_for_Pose_Varians.pdf Nabila, Elsa Serli and Wahyono, Wahyono (2022) Person Re-Identification using Background Subtraction and Siamese Network for Pose Varians. Proceedings - 2022 8th International Conference on Science and Technology, ICST 2022. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10136309 10.1109/ICST56971.2022.10136309 |
| spellingShingle | Information and Computing Sciences Nabila, Elsa Serli Wahyono, Wahyono Person Re-Identification using Background Subtraction and Siamese Network for Pose Varians |
| title | Person Re-Identification using Background
Subtraction and Siamese Network for Pose Varians |
| title_full | Person Re-Identification using Background
Subtraction and Siamese Network for Pose Varians |
| title_fullStr | Person Re-Identification using Background
Subtraction and Siamese Network for Pose Varians |
| title_full_unstemmed | Person Re-Identification using Background
Subtraction and Siamese Network for Pose Varians |
| title_short | Person Re-Identification using Background
Subtraction and Siamese Network for Pose Varians |
| title_sort | person re identification using background subtraction and siamese network for pose varians |
| topic | Information and Computing Sciences |
| url | https://repository.ugm.ac.id/284292/1/179.Person_Re-Identification_using_Background_Subtraction_and_Siamese_Network_for_Pose_Varians.pdf |
| work_keys_str_mv | AT nabilaelsaserli personreidentificationusingbackgroundsubtractionandsiamesenetworkforposevarians AT wahyonowahyono personreidentificationusingbackgroundsubtractionandsiamesenetworkforposevarians |