Computer Vision -- ACCV 2012

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 SparseRepresentation of Label Noise.- Poster Session 6: Motion, Tracking, andComputational Photography Dynamic Objectness for Adaptive Tracking.- Visual Tracking in Continuous Appearance Space via Sparse Coding.- Robust Object Tracking in Crowd Dynamic Scenes Using ExplicitStereo 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 throughOcclusions.- 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 RobustBronchoscope 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 IlluminationInvariance.- 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 ExemplarSub-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 andIdentification of People Using Multi-modal Feature Maps.- Full 6DOF Pose Estimation from Geo-Located Images.- Learning a Quality-Based Ranking for Feature Point Trajectories.