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Book synopsis

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. §

Book details

Book category Books in English Computing & information technology Computer hardware Network hardware

• Full title: Human Re-Identification
• Author: Ziyan Wu
• Language: English
• Binding: Hardback
• Number of pages: 104
• EAN: 9783319409900
• ISBN: 9783319409900
• ID: 10929398
• Publisher: Springer International Publishing AG
• Weight: 352 g
• Dimensions: 235 × 155 × 13 mm
• Date of publishing: 08. September 2016

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