Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Human action analysis with randomize...
~
Liu, Zicheng.
Human action analysis with randomized trees
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Human action analysis with randomized trees/ by Gang Yu, Junsong Yuan, Zicheng Liu.
Author:
Yu, Gang.
other author:
Yuan, Junsong.
Published:
Singapore :Springer Singapore : : 2015.,
Description:
viii, 83 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Trees (Graph theory) -
Online resource:
http://dx.doi.org/10.1007/978-981-287-167-1
ISBN:
9789812871671 (electronic bk.)
Human action analysis with randomized trees
Yu, Gang.
Human action analysis with randomized trees
[electronic resource] /by Gang Yu, Junsong Yuan, Zicheng Liu. - Singapore :Springer Singapore :2015. - viii, 83 p. :ill., digital ;24 cm. - Springer briefs in electrical and computer engineering. Signal processing,2191-8112. - Springer briefs in electrical and computer engineering.Signal processing..
Introduction to Human Action Analysis -- Supervised Trees for Human Action Recognition and Detection -- Unsupervised Trees for Human Action Search -- Propagative Hough Voting to Leverage Contextual Information -- Human Action Prediction with Multi-class Balanced Random Forest -- Conclusion.
This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.
ISBN: 9789812871671 (electronic bk.)
Standard No.: 10.1007/978-981-287-167-1doiSubjects--Topical Terms:
527866
Trees (Graph theory)
LC Class. No.: QA166.2
Dewey Class. No.: 511.52
Human action analysis with randomized trees
LDR
:02130nam a2200349 a 4500
001
834228
003
DE-He213
005
20150527163100.0
006
m d
007
cr nn 008maaau
008
160421s2015 si s 0 eng d
020
$a
9789812871671 (electronic bk.)
020
$a
9789812871664 (paper)
024
7
$a
10.1007/978-981-287-167-1
$2
doi
035
$a
978-981-287-167-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA166.2
072
7
$a
TTBM
$2
bicssc
072
7
$a
UYS
$2
bicssc
072
7
$a
TEC008000
$2
bisacsh
072
7
$a
COM073000
$2
bisacsh
082
0 4
$a
511.52
$2
23
090
$a
QA166.2
$b
.Y94 2015
100
1
$a
Yu, Gang.
$3
1062515
245
1 0
$a
Human action analysis with randomized trees
$h
[electronic resource] /
$c
by Gang Yu, Junsong Yuan, Zicheng Liu.
260
$a
Singapore :
$c
2015.
$b
Springer Singapore :
$b
Imprint: Springer,
300
$a
viii, 83 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer briefs in electrical and computer engineering. Signal processing,
$x
2191-8112
505
0
$a
Introduction to Human Action Analysis -- Supervised Trees for Human Action Recognition and Detection -- Unsupervised Trees for Human Action Search -- Propagative Hough Voting to Leverage Contextual Information -- Human Action Prediction with Multi-class Balanced Random Forest -- Conclusion.
520
$a
This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.
650
0
$a
Trees (Graph theory)
$3
527866
650
0
$a
Human behavior
$x
Research.
$3
1062518
650
1 4
$a
Engineering.
$3
561152
650
2 4
$a
Signal, Image and Speech Processing.
$3
670837
650
2 4
$a
Image Processing and Computer Vision.
$3
670819
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
593945
700
1
$a
Yuan, Junsong.
$3
1062516
700
1
$a
Liu, Zicheng.
$3
1023578
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Springer briefs in electrical and computer engineering.
$p
Signal processing.
$3
1062517
856
4 0
$u
http://dx.doi.org/10.1007/978-981-287-167-1
950
$a
Engineering (Springer-11647)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login