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Multiple Objects Fusion Tracker Using a Matching Network for Adaptively Represented Instance Pairs
Multiple-object tracking is affected by various sources of distortion, such as occlusion, illumination variations and motion changes. Overcoming these distortions by tracking on RGB frames, such as shifting, has limitations because of material distortions caused by RGB frames. To overcome these dist...
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| 發表在: | Sensors (Basel) |
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| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2017
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5424760/ https://ncbi.nlm.nih.gov/pubmed/28420194 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17040883 |
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