Machine Learning Based Object Tracking
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909073865179136 |
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| author | Akanda, Md Rakibul Karim Reynolds, Joshua Jackson, Treylin Gray, Milijah |
| author_facet | Akanda, Md Rakibul Karim Reynolds, Joshua Jackson, Treylin Gray, Milijah |
| contents | Machine learning based object detection as well as tracking that object have been performed in this paper. The authors were able to set a range of interest (ROI) around an object using Open Computer Vision, better known as OpenCV. Next a tracking algorithm has been used to maintain tracking on an object while simultaneously operating two servo motors to keep the object centered in the frame. Detailed procedure and code are included in this paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_07929 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Machine Learning Based Object Tracking Akanda, Md Rakibul Karim Reynolds, Joshua Jackson, Treylin Gray, Milijah Computer Vision and Pattern Recognition Applied Physics Machine learning based object detection as well as tracking that object have been performed in this paper. The authors were able to set a range of interest (ROI) around an object using Open Computer Vision, better known as OpenCV. Next a tracking algorithm has been used to maintain tracking on an object while simultaneously operating two servo motors to keep the object centered in the frame. Detailed procedure and code are included in this paper. |
| title | Machine Learning Based Object Tracking |
| topic | Computer Vision and Pattern Recognition Applied Physics |
| url | https://arxiv.org/abs/2401.07929 |