Human Re-Identification, 1st ed. 2016 Multimedia Systems and Applications Series
Covers every aspect of an end-to-end real-world human re-identification system
Analyzes and summarizes factors of challenges, risks and uncertainties from practical computer vision applications
Extensive evaluation and benchmarking on mainstream human re-identification algorithms and datasets
Date de parution : 04-2018
Ouvrage de 104 p.
15.5x23.5 cm
Date de parution : 09-2016
Ouvrage de 104 p.
15.5x23.5 cm