Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Visual object tracking = an evaluati...
~
Zhao, Xin.
Linked to FindBook
Google Book
Amazon
博客來
Visual object tracking = an evaluation perspective /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Visual object tracking/ by Xin Zhao, Shiyu Hu, Xu-Cheng Yin.
Reminder of title:
an evaluation perspective /
Author:
Zhao, Xin.
other author:
Hu, Shiyu.
Published:
Singapore :Springer Nature Singapore : : 2025.,
Description:
xv, 199 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:
Task Introduction -- Experimental Environment -- Algorithms -- Humans -- Machine-to-Machine Comparisons -- Visual Turing Test: Machine-to-Machine Comparisons -- More Human-like Task Design -- More Realistic Data Environment -- More Human-like Executors -- More Intelligent Evaluation.
Contained By:
Springer Nature eBook
Subject:
Computer vision. -
Online resource:
https://doi.org/10.1007/978-981-96-4558-9
ISBN:
9789819645589
Visual object tracking = an evaluation perspective /
Zhao, Xin.
Visual object tracking
an evaluation perspective /[electronic resource] :by Xin Zhao, Shiyu Hu, Xu-Cheng Yin. - Singapore :Springer Nature Singapore :2025. - xv, 199 p. :ill. (chiefly color), digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6594. - Advances in computer vision and pattern recognition..
Task Introduction -- Experimental Environment -- Algorithms -- Humans -- Machine-to-Machine Comparisons -- Visual Turing Test: Machine-to-Machine Comparisons -- More Human-like Task Design -- More Realistic Data Environment -- More Human-like Executors -- More Intelligent Evaluation.
This book delves into visual object tracking (VOT), a fundamental aspect of computer vision crucial for replicating human dynamic vision, with applications ranging from self-driving vehicles to surveillance systems. Despite significant strides propelled by deep learning, challenges such as target deformation and motion persist, exposing a disparity between cutting-edge VOT systems and human performance. This observation underscores the necessity to thoroughly scrutinize and enhance evaluation methodologies within VOT research. Hence, the primary objective of this book is to equip readers with essential insights into dynamic visual tasks encapsulated by VOT. Beginning with the elucidation of task definitions, it integrates interdisciplinary perspectives on evaluation techniques. The book is organized into five parts, tracing the evolution of VOT from perceptual to cognitive intelligence, exploring the experimental frameworks utilized in assessments, analyzing the various agents involved, including tracking algorithms and human visual tracking, and dissecting evaluation mechanisms through both machine-machine and human-machine comparisons. Furthermore, it examines the trend toward crafting more human-like task definitions and comprehensive evaluation frameworks to effectively gauge machine intelligence. This book serves as a roadmap for researchers aiming to grasp the bottlenecks in VOT capabilities and comprehend the gaps between current methodologies and human abilities, all geared toward advancing algorithmic intelligence. It also delves into the realm of data-centric AI, emphasizing the pivotal role of high-quality datasets and evaluation systems in the age of large language models (LLMs). Such systems are indispensable for training AI models while ensuring their safety and reliability. Utilizing VOT as a case study, the book offers detailed insights into these facets of data-centric AI research. Designed to cater to readers with foundational knowledge in computer vision, it employs diagrams and examples to facilitate comprehension, providing essential groundwork for understanding key technical components.
ISBN: 9789819645589
Standard No.: 10.1007/978-981-96-4558-9doiSubjects--Topical Terms:
540671
Computer vision.
LC Class. No.: TA1634
Dewey Class. No.: 006.37
Visual object tracking = an evaluation perspective /
LDR
:03553nmm a2200349 a 4500
001
2413294
003
DE-He213
005
20250702130232.0
006
m d
007
cr nn 008maaau
008
260205s2025 si s 0 eng d
020
$a
9789819645589
$q
(electronic bk.)
020
$a
9789819645572
$q
(paper)
024
7
$a
10.1007/978-981-96-4558-9
$2
doi
035
$a
978-981-96-4558-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA1634
072
7
$a
UYQV
$2
bicssc
072
7
$a
COM016000
$2
bisacsh
072
7
$a
UYQV
$2
thema
082
0 4
$a
006.37
$2
23
090
$a
TA1634
$b
.Z63 2025
100
1
$a
Zhao, Xin.
$3
1023944
245
1 0
$a
Visual object tracking
$h
[electronic resource] :
$b
an evaluation perspective /
$c
by Xin Zhao, Shiyu Hu, Xu-Cheng Yin.
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2025.
300
$a
xv, 199 p. :
$b
ill. (chiefly color), digital ;
$c
24 cm.
338
$a
online resource
$b
cr
$2
rdacarrier
490
1
$a
Advances in computer vision and pattern recognition,
$x
2191-6594
505
0
$a
Task Introduction -- Experimental Environment -- Algorithms -- Humans -- Machine-to-Machine Comparisons -- Visual Turing Test: Machine-to-Machine Comparisons -- More Human-like Task Design -- More Realistic Data Environment -- More Human-like Executors -- More Intelligent Evaluation.
520
$a
This book delves into visual object tracking (VOT), a fundamental aspect of computer vision crucial for replicating human dynamic vision, with applications ranging from self-driving vehicles to surveillance systems. Despite significant strides propelled by deep learning, challenges such as target deformation and motion persist, exposing a disparity between cutting-edge VOT systems and human performance. This observation underscores the necessity to thoroughly scrutinize and enhance evaluation methodologies within VOT research. Hence, the primary objective of this book is to equip readers with essential insights into dynamic visual tasks encapsulated by VOT. Beginning with the elucidation of task definitions, it integrates interdisciplinary perspectives on evaluation techniques. The book is organized into five parts, tracing the evolution of VOT from perceptual to cognitive intelligence, exploring the experimental frameworks utilized in assessments, analyzing the various agents involved, including tracking algorithms and human visual tracking, and dissecting evaluation mechanisms through both machine-machine and human-machine comparisons. Furthermore, it examines the trend toward crafting more human-like task definitions and comprehensive evaluation frameworks to effectively gauge machine intelligence. This book serves as a roadmap for researchers aiming to grasp the bottlenecks in VOT capabilities and comprehend the gaps between current methodologies and human abilities, all geared toward advancing algorithmic intelligence. It also delves into the realm of data-centric AI, emphasizing the pivotal role of high-quality datasets and evaluation systems in the age of large language models (LLMs). Such systems are indispensable for training AI models while ensuring their safety and reliability. Utilizing VOT as a case study, the book offers detailed insights into these facets of data-centric AI research. Designed to cater to readers with foundational knowledge in computer vision, it employs diagrams and examples to facilitate comprehension, providing essential groundwork for understanding key technical components.
650
0
$a
Computer vision.
$3
540671
650
0
$a
Tracking (Engineering)
$3
2192932
650
1 4
$a
Computer Vision.
$3
3538524
650
2 4
$a
Image Processing.
$3
891209
650
2 4
$a
Artificial Intelligence.
$3
769149
650
2 4
$a
Machine Learning.
$3
3382522
650
2 4
$a
Data Science.
$3
3538937
650
2 4
$a
System Performance and Evaluation.
$3
891353
700
1
$a
Hu, Shiyu.
$3
3789242
700
1
$a
Yin, Xu-Cheng.
$3
3714556
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Advances in computer vision and pattern recognition.
$3
1567575
856
4 0
$u
https://doi.org/10.1007/978-981-96-4558-9
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9518749
電子資源
11.線上閱覽_V
電子書
EB TA1634
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login