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Point Siamese Network for Person Tracking Using 3D Point Clouds
Person tracking is an important issue in both computer vision and robotics. However, most existing person tracking methods using 3D point cloud are based on the Bayesian Filtering framework which are not robust in challenging scenes. In contrast with the filtering methods, in this paper, we propose...
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| Izdano u: | Sensors (Basel) |
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| Glavni autori: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2019
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6982853/ https://ncbi.nlm.nih.gov/pubmed/31878306 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010143 |
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