Computer Vision – ACCV 2012 - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642374302, 9783642374319

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Structured Visual Tracking with Dynamic Graph

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_7 ◽

2013 ◽

pp. 86-97 ◽

Author(s):

Zhaowei Cai ◽

Longyin Wen ◽

Jianwei Yang ◽

Zhen Lei ◽

Stan Z. Li

Keyword(s):

Visual Tracking ◽

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Learning a Quality-Based Ranking for Feature Point Trajectories

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_55 ◽

2013 ◽

pp. 718-733

Author(s):

Liangjing Ding ◽

Adrian Barbu ◽

Anke Meyer-Baese

Keyword(s):

Feature Point ◽

Point Trajectories

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Features with Feelings—Incorporating User Preferences in Video Categorization

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_43 ◽

2013 ◽

pp. 560-571 ◽

Author(s):

Ramya Srinivasan ◽

Amit K. Roy-Chowdhury

Keyword(s):

User Preferences ◽

Video Categorization

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Combinational Subsequence Matching for Human Identification from General Actions

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_35 ◽

2013 ◽

pp. 453-464 ◽

Author(s):

Maodi Hu ◽

Yunhong Wang ◽

James J. Little

Keyword(s):

Human Identification ◽

Subsequence Matching

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Robust and Efficient Pose Estimation from Line Correspondences

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_17 ◽

2013 ◽

pp. 217-230 ◽

Author(s):

Lilian Zhang ◽

Chi Xu ◽

Kok-Meng Lee ◽

Reinhard Koch

Keyword(s):

Pose Estimation

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Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_3 ◽

2013 ◽

pp. 29-42

Author(s):

Yuefeng Chen ◽

Qing Wang

Keyword(s):

Sparse Representation ◽

Visual Tracking ◽

Label Noise ◽

Classifier Selection ◽

Dynamic Classifier Selection

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Image Super-Resolution: Use of Self-learning and Gabor Prior

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_32 ◽

2013 ◽

pp. 413-424 ◽

Author(s):

Nilay Khatri ◽

Manjunath V. Joshi

Keyword(s):

Super Resolution ◽

Use Of Self ◽

Image Super Resolution ◽

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Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_33 ◽

2013 ◽

pp. 425-437 ◽

Author(s):

Qianru Sun ◽

Hong Liu

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A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_44 ◽

2013 ◽

pp. 572-585 ◽

Author(s):

Xingxing Wang ◽

LiMin Wang ◽

Yu Qiao

Keyword(s):

Comparative Study ◽

Action Recognition ◽

Normalization Methods

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Efficient Learning of Linear Predictors Using Dimensionality Reduction

Computer Vision – ACCV 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37431-9_2 ◽

2013 ◽

pp. 15-28 ◽

Author(s):

Stefan Holzer ◽

Slobodan Ilic ◽

David Joseph Tan ◽

Nassir Navab

Keyword(s):

Dimensionality Reduction ◽

Linear Predictors ◽

Efficient Learning

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