{"product_id":"human-re-identification-9783319409900","title":"Human Re-Identification","description":"\u003cp\u003e • Author(s): Ziyan Wu\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Software Development \u0026amp; Engineering - Computer Graphics\u003c\/p\u003e\u003cp\u003eThis 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.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45281301102743,"sku":"9783319409900","price":7345.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319409900.webp?v=1769298827","url":"https:\/\/atlanticbooks.com\/products\/human-re-identification-9783319409900","provider":"Atlantic Books","version":"1.0","type":"link"}