Reference Type | Journal (article/letter/editorial) |
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Title | Spatio-temporal object detection by deep learning: Video-interlacing to improve multi-object tracking |
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Journal | Image and Vision Computing |
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Authors | Mhalla, Ala | Author |
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Chateau, Thierry | Author |
Essoukri Ben Amara, Najoua | Author |
Year | 2019 (August) | Volume | 88 |
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Publisher | Elsevier BV |
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DOI | doi:10.1016/j.imavis.2019.03.002Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 11236444 | Long-form Identifier | mindat:1:5:11236444:5 |
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GUID | 0 |
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Full Reference | Mhalla, Ala, Chateau, Thierry, Essoukri Ben Amara, Najoua (2019) Spatio-temporal object detection by deep learning: Video-interlacing to improve multi-object tracking. Image and Vision Computing, 88. 120-131 doi:10.1016/j.imavis.2019.03.002 |
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Plain Text | Mhalla, Ala, Chateau, Thierry, Essoukri Ben Amara, Najoua (2019) Spatio-temporal object detection by deep learning: Video-interlacing to improve multi-object tracking. Image and Vision Computing, 88. 120-131 doi:10.1016/j.imavis.2019.03.002 |
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In | (n.d.) Image and Vision Computing Vol. 88. Elsevier BV |
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