Computer Vision – ACCV 2012 [E-Book] : 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.
Lee, Kyoung Mu.
Matsushita, Yasuyuki. / Rehg, James M. / Hu, Zhanyi.
Berlin, Heidelberg : Springer, 2013
XXVI, 741 p. 336 illus. digital.
Printed edition: 9783642374302
Lecture notes in computer science ; 7726
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Table of 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.