Motion segmentation of pedestrian trajectories Using Angular Gaussian Mixture model
Motion segmentation and identification of structural segments from an ensemble of human trajectories continue to be a challenge. These processes entail distinguishing and categorizing distinct motion patterns manifested by pedestrians within a group, as well as recognizing conspicuous segments that...
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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2023
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/107893/ http://dx.doi.org/10.1145/3631991.3632040 |
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