Unifying Person and Vehicle Re-Identification

Person and vehicle re-identification (re-ID) are important challenges for the analysis of the burgeoning collection of urban surveillance videos. To efficiently evaluate such videos, which are populated with both vehicles and pedestrians, it would be preferable to have one unified framework with eff...

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Principais autores:	Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam, Hubert P. H. Shum
格式:	Artigo
語言:	Inglês
出版:	IEEE 2020-01-01
叢編:	IEEE Access
主題:	Person re-identification vehicle re-identification deep learning triplet loss
在線閱讀:	https://ieeexplore.ieee.org/document/9121997/
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