東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Human re-identification

Wu, Ziyan.

FindBook

Google Book

Amazon

博客來

Human re-identification

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Human re-identification/ by Ziyan Wu.
作者:	Wu, Ziyan.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xv, 104 p. :ill., digital ;24 cm.
內容註:	The Problem of Human re-identification -- Features and Signatures -- Multi-Object Tracking -- Surveillance Camera and its Calibration -- Calibrating a Surveillance Camera Network -- Learning Viewpoint Invariant Signatures -- Learning Subject-Discriminative Features -- Dimension Reduction with Random Projections -- Sample Selection for Multi-shot Human Reidentification -- Conclusions and Future Work.
Contained By:	Springer eBooks
標題:	Computer vision. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-40991-7
ISBN:	9783319409917$q(electronic bk.)

Human re-identification
Wu, Ziyan.

Human re-identification[electronic resource] /by Ziyan Wu. - Cham :Springer International Publishing :2016. - xv, 104 p. :ill., digital ;24 cm. - Multimedia systems and applications. - Multimedia systems and applications..

The Problem of Human re-identification -- Features and Signatures -- Multi-Object Tracking -- Surveillance Camera and its Calibration -- Calibrating a Surveillance Camera Network -- Learning Viewpoint Invariant Signatures -- Learning Subject-Discriminative Features -- Dimension Reduction with Random Projections -- Sample Selection for Multi-shot Human Reidentification -- Conclusions and Future Work.

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.

ISBN: 9783319409917$q(electronic bk.)

Standard No.: 10.1007/978-3-319-40991-7doiSubjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Human re-identification
LDR:02218nmm a2200349 a 4500 001 2052366
003 DE-He213
005 20160908060506.0
006 m d
007 cr nn 008maaau
008 170421s2016 gw s 0 eng d
020 $a 9783319409917$q(electronic bk.)
020 $a 9783319409900$q(paper)
024 7 $a 10.1007/978-3-319-40991-7 $2 doi
035 $a 978-3-319-40991-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYT $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .W959 2016
100 1 $a Wu, Ziyan. $3 3135610
245 1 0 $a Human re-identification $h [electronic resource] / $c by Ziyan Wu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xv, 104 p. : $b ill., digital ; $c 24 cm.
490 1 $a Multimedia systems and applications
505 0 $a The Problem of Human re-identification -- Features and Signatures -- Multi-Object Tracking -- Surveillance Camera and its Calibration -- Calibrating a Surveillance Camera Network -- Learning Viewpoint Invariant Signatures -- Learning Subject-Discriminative Features -- Dimension Reduction with Random Projections -- Sample Selection for Multi-shot Human Reidentification -- Conclusions and Future Work.
520 $a 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.
650 0 $a Computer vision. $3 540671
650 0 $a Pattern recognition systems. $3 527885
650 0 $a Electronic surveillance. $3 552360
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Multimedia Information Systems. $3 892521
650 2 4 $a Computer Communication Networks. $3 775497
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Multimedia systems and applications. $3 2068192
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-40991-7
950 $a Computer Science (Springer-11645)