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Human Re-Identification - Ziyan Wu

angļu valoda
2018-04-22
151,51 € 233,09 €

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This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world sc ... Pilns apraksts

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Aprašymas

This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement.This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable.

Vairāk informācijas

Autors Ziyan Wu
Izdevējs Springer International Publishing
Izlaides gads 2018
Vāka tips Mīkstais vāks
EAN 9783319822358
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151,51 € 233,09 €