Computer vision - ACCV 2014 = 12th A...
Cremers, Daniel.

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  • Computer vision - ACCV 2014 = 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014 : revised selected papers.. Part V /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computer vision - ACCV 2014/ edited by Daniel Cremers ... [et al.].
    其他題名: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014 : revised selected papers.
    其他題名: ACCV 2014
    其他作者: Cremers, Daniel.
    出版者: Cham :Springer International Publishing : : 2015.,
    面頁冊數: xx, 683 p. :ill., digital ;24 cm.
    內容註: Improving Human Action Recognition Using Score Distribution and Ranking -- Context-Aware Activity Forecasting -- DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Cameras -- Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction -- Anomaly Detection via Local Coordinate Factorization and Spatio-Temporal Pyramid -- Intrinsic Image Decomposition from Pair-Wise Shading Ordering -- Never Get Lost Again: Vision Based Navigation Using StreetView Images -- Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition -- Blur-Resilient Tracking Using Group Sparsity -- Visual Tracking via Supervised Similarity Matching -- Multi-state Discriminative Video Segment Selection for Complex Event Classification -- Action Recognition in the Presence of One Egocentric and Multiple Static Cameras -- Robust Online Visual Tracking with a Single Convolutional Neural Network -- Stage Large Point Set Registration Using Gaussian Mixture Models -- Enhanced Sequence Matching for Action Recognition from 3D Skeletal Data -- Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization -- Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity -- Fast Inference of Contaminated Data for Real Time Object Tracking -- Data Mining for Action Recognition -- A Rotation-Invariant Regularization Term for Optical Flow Related Problems -- Landmark-Based Inductive Model for Robust Discriminative Tracking -- Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained -- Motion Based Foreground Detection and Poselet Motion Features for Action Recognition -- Global Motion Estimation from Relative Measurements in the Presence of Outliers -- Clustering Ensemble Tracking -- Query Based Adaptive Re-ranking for Person Re-identification -- Improved Color Patch Similarity Measure Based Weighted Median Filter -- Efficient Pose-Based Action Recognition -- Tracking Multiple People Online and in Real Time -- Optimizing Storage Intensive Vision Applications to Device Capacity -- MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation -- Video Annotation by Incremental Learning from Grouped Heterogeneous Sources -- A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition -- Boosting-Based Visual Tracking Using Structural Local Sparse Descriptors -- Coupling Multiple Alignments and Re-ranking for Low-Latency Online Multi-target Tracking -- Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning -- Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking -- Cross-view Action Recognition via Dual-Codebook and Hierarchical Transfer Framework -- Stereo Ground Truth with Error Bars -- Separation of Reflection Components by Sparse Non-negative Matrix Factorization -- Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching -- Weakly Supervised Action Recognition and Localization Using Web Images -- A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups.
    Contained By: Springer eBooks
    標題: Computer vision - Congresses. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-16814-2
    ISBN: 9783319168142 (electronic bk.)
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