LEADER 06773nam 22007575 450 001 996208604903316 005 20200704032711.0 010 $a3-319-16814-2 024 7 $a10.1007/978-3-319-16814-2 035 $a(CKB)3710000000404046 035 $a(SSID)ssj0001501404 035 $a(PQKBManifestationID)11854462 035 $a(PQKBTitleCode)TC0001501404 035 $a(PQKBWorkID)11524504 035 $a(PQKB)10185990 035 $a(DE-He213)978-3-319-16814-2 035 $a(MiAaPQ)EBC6303633 035 $a(MiAaPQ)EBC5587227 035 $a(Au-PeEL)EBL5587227 035 $a(OCoLC)1066197018 035 $a(PPN)185488919 035 $a(EXLCZ)993710000000404046 100 $a20150416d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aComputer Vision -- ACCV 2014$b[electronic resource] $e12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V /$fedited by Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XX, 683 p. 255 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9007 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-16813-4 327 $aImproving 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. 330 $aThe five-volume set LNCS 9003--9007 constitutes the thoroughly refereed post-conference proceedings of the 12th Asian Conference on Computer Vision, ACCV 2014, held in Singapore, Singapore, in November 2014. The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9007 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aHealth informatics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aHealth informatics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 676 $a006.37 702 $aCremers$b Daniel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aReid$b Ian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSaito$b Hideo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYang$b Ming-Hsuan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996208604903316 996 $aComputer Vision -- ACCV 2014$92596054 997 $aUNISA