HPILN: A feature learning framework for cross-modality person re-identification

7 Jun 2019 Jian-Wu Lin Hao Li

Most video surveillance systems use both RGB and infrared cameras, making it a vital technique to re-identify a person cross the RGB and infrared modalities. This task can be challenging due to both the cross-modality variations caused by heterogeneous images in RGB and infrared, and the intra-modality variations caused by the heterogeneous human poses, camera views, light brightness, etc... (read more)

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