Computer Vision -- ACCV 2012 : 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III / edited by Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu.

Format:

Book

Contributor:

Lee, Kyoung Mu, Editor.

Matsushita, Yasuyuki, Editor.

Rehg, James M., Editor.

Hu, Zhanyi, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 7726

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7726

Language:

English

Subjects (All):

Computer vision.

Pattern recognition systems.

Artificial intelligence.

Medical informatics.

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Local Subjects:

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Physical Description:

1 online resource (XXVI, 741 pages) : 336 illustrations

Edition:

1st ed. 2013.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

Contents:

Oral Session 6: Optical Flow and Tracking

Adaptive Integration of Feature Matches into Variational Optical Flow Methods

Efficient Learning of Linear Predictors Using Dimensionality Reduction

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

Poster Session 6: Motion, Tracking, and Computational Photography Dynamic Objectness for Adaptive Tracking

Visual Tracking in Continuous Appearance Space via Sparse Coding

Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo Depth

Structured Visual Tracking with Dynamic Graph

Online Multi-target Tracking by Large Margin Structured Learning

An Anchor Patch Based Optimization Framework for Reducing Optical Flow Drift in Long Image Sequences

One-Class Multiple Instance Learning and Applications to Target Tracking

Dense Scene Flow Based on Depth and Multi-channel Bilateral Filter

Object Tracking within the Framework of Concept Drift

Multiple Target Tracking Using Frame Triplets

Spatio-Temporal Clustering Model for Multi-object Tracking through Occlusions

Robust Object Tracking Using Constellation Model with Superpixel

Robust Registration-Based Tracking by Sparse Representation with Model Update

Robust and Efficient Pose Estimation from Line Correspondences

Nonlocal Spectral Prior Model for Low-Level Vision

Simultaneous Multiple Rotation Averaging Using Lagrangian Duality

Observation-Driven Adaptive Differential Evolution for Robust Bronchoscope 3-D Motion Tracking

Tracking Growing Axons by Particle Filtering in 3D + t Fluorescent Two-Photon Microscopy Images

Image Upscaling Using Multiple Dictionaries of Natural Image Patches

A Biologically Motivated Double-Opponency Approach to Illumination Invariance

Measuring Linearity of Closed Curves and Connected Compound Curves

Patch Mosaic for Fast Motion Deblurring

Single-Image Blind Deblurring for Non-uniform Camera-Shake Blur

Image Super-Resolution Using Local Learnable Kernel Regression

MRF-Based Blind Image Deconvolution

Efficient Image Appearance Description Using Dense Sampling Based Local Binary Patterns

Navigation toward Non-static Target Object Using Footprint Detection Based Tracking

Single Image Super Resolution Reconstruction in Perturbed Exemplar Sub-space

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

Oral Session 7: Video Analysis and Action

Recognition Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram

Alpha-Flow for Video Matting

Combinational Subsequence Matching for Human Identification from General Actions

Poster Session 7: Video Analysis and Action Recognition Iterative Semi-Global Matching for Robust Driver Assistance Systems

Action Recognition Using Canonical Correlation Kernels

A New Framework for Background Subtraction Using Multiple Cues

Weighted Interaction Force Estimation for Abnormality Detection in Crowd Scenes

Egocentric Activity Monitoring and Recovery

Spatiotemporal Salience via Centre-Surround Comparison of Visual Spacetime Orientations

Temporal-Spatial Refinements for Video Concept Fusion

Features with Feelings-Incorporating User Preferences in Video Categorization

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

Dynamic Saliency Models and Human Attention: A Comparative Study on Videos

Horror Video Scene Recognition Based on Multi-view Multi-instance Learning

Learning Object Appearance from Occlusions Using Structure and Motion Recovery

Exploring the Similarities of Neighboring Spatiotemporal Points for Action Pair Matching

Sequential Reconstruction Segment-Wise Feature Track and Structure Updating Based on Parallax Paths

Generic Active Appearance Models Revisited

Tracking Pedestrian with Multi-component Online Deformable Part-Based Model

Local Distance Comparison for Multiple-shot People Re-identification

Non-sequential Multi-view Detection, Localization and Identification of People Using Multi-modal Feature Maps

Full 6DOF Pose Estimation from Geo-Located Images

Learning a Quality-Based Ranking for Feature Point Trajectories.

Other Format:

Printed edition:

ISBN:

978-3-642-37431-9

9783642374319

Access Restriction:

Restricted for use by site license.