國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Gesture recognition

Athitsos, Vassilis.

Gesture recognition

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Gesture recognitionedited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos.
其他作者:	Escalera, Sergio.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xii, 578 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	GestureData processing.
電子資源:	http://dx.doi.org/10.1007/978-3-319-57021-1
ISBN:	9783319570211$q(electronic bk.)

Gesture recognition
Gesture recognition[electronic resource] /edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos. - Cham :Springer International Publishing :2017. - xii, 578 p. :ill., digital ;24 cm. - The Springer series on challenges in machine learning,2520-131X. - Springer series on challenges in machine learning..

Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5.

This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.

ISBN: 9783319570211$q(electronic bk.)

Standard No.: 10.1007/978-3-319-57021-1doiSubjects--Topical Terms:

789234
Gesture
--Data processing.

LC Class. No.: TK7882.P3 / G47 2017

Dewey Class. No.: 006.42

Gesture recognition
LDR:01641nmm a2200337 a 4500 001 520135
003 DE-He213
005 20170719075317.0
006 m d
007 cr nn 008maaau
008 180425s2017 gw s 0 eng d
020 $a 9783319570211$q(electronic bk.)
020 $a 9783319570204$q(paper)
024 7 $a 10.1007/978-3-319-57021-1 $2 doi
035 $a 978-3-319-57021-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.P3 $b G47 2017
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.42 $2 23
090 $a TK7882.P3 $b G393 2017
245 0 0 $a Gesture recognition $h [electronic resource] / $c edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xii, 578 p. : $b ill., digital ; $c 24 cm.
490 1 $a The Springer series on challenges in machine learning, $x 2520-131X
505 0 $a Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5.
520 $a This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.
650 0 $a Gesture $x Data processing. $3 789234
650 0 $a Machine learning. $3 188639
650 0 $a Pattern recognition systems. $3 183725
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Pattern Recognition. $3 273706
700 1 $a Escalera, Sergio. $3 530826
700 1 $a Guyon, Isabelle. $3 789232
700 1 $a Athitsos, Vassilis. $3 789233
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer series on challenges in machine learning. $3 785220
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-57021-1
950 $a Computer Science (Springer-11645)