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Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Representation and recognition of complex human motion
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Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture
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Space-Time Behavior Based Correlation
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Tensor Canonical Correlation Analysis for Action Classification
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Recognizing human actions using multiple features
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Learning realistic human actions from movies
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Kernel-based Recognition of Human Actions Using Spatiotemporal Salient Points
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Recognizing action events from multiple viewpoints
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Recognizing action at a distance
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Efficient visual event detection using volumetric features
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Spatiotemporal Saliency for Human Action Recognition
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An appearance-based representation of action
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Behavior Recognition via Sparse Spatio-Temporal Features
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Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
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Échelle auto-rapportée de psychopathie de Levenson : adaptation française et validation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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IMPROVING MULTI-CAMERA ACTIVITY RECOGNITION BY EMPLOYING NEURAL NETWORK BASED READJUSTMENT
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Human Action Recognition: Learning Sparse Basis Units from Trajectory Subspace
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Beyond Features for Recognition: Human-Readable Measures to Understand Users’ Whole-Body Gesture Performance
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Action Recognition by Exploiting Wavelet Features
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A Hierarchical Framework for Human Activity Recognition using Multi-Domain Pose Features and Specialized Temporal Models
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Human Posture Recognition Method Based On Skeleton Vector With Depth Sensor
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4DCov: A Nested Covariance Descriptor of Spatio-Temporal Features for Gesture Recognition in Depth Sequences
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Human Action Recognition Using Improved Sparse Gaussian Process Latent Variable Model and Hidden Conditional Random Filed
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Fully Connected Generative Adversarial Network for Human Activity Recognition
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OBTAIN: Observational Therapy-Assistance Neural Network for Training State Recognition
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Multimodal depression recognition with dynamic visual and audio cues
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A Multi-resolution Action Recognition Algorithm Using Wavelet Domain Features
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Pose-invariant kinematic features for action recognition
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A computer vision system to detect diving cases in soccer
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Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow
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Automated human physical function measurement using constrained high dispersal network with SVM-linear
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Frame-level Pain Intensity Assessment via Multilevel Hash-based Features and Transformer
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Teaching behavior evaluation model establishment and feature extraction
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OTA-NN: Observational Therapy-Assistance Neural Network for Enhancing Autism Intervention Quality
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Initial-state invariant Binet-Cauchy kernels for the comparison of Linear Dynamical Systems
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Semi-automatic Recognition of Human Activities under Variable Lighting
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Ergonomic Evaluation of Aircraft Cockpit Based on Model-Predictive Control
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Gestures vs. Gesticulations: Change Point Models Based Segmentation for Natural Interactions
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Automatic Temporal Location and Classification of Human Actions Based on Optical Features
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Automatic images classification based on multi-features combined with MIL
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New geometric descriptor for the recognition of aggressive human behavior
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Fusion of Bag of Visual Words with Neural Network for Human Action Recognition
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MDS-based Multi-axial Dimensionality Reduction Model for Human Action Recognition
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Design and development of intelligent anomalous behaviour and event detection system
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Potential neuroprotective effect of commercial Bacopa monniera extract
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Joint segmentation and classification of human actions in video
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A unified framework for locating and recognizing human actions
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Social behavior recognition in continuous video
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Max-margin early event detectors
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Better Exploiting Motion for Better Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2014.344openalex-snapshot
Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking
inferred← citeshttps://doi.org/10.1109/cvpr.2016.606openalex-snapshot
Slicing Convolutional Neural Network for Crowd Video Understanding
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Active Vision for Early Recognition of Human Actions
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A socio-technical approach for event detection in security critical infrastructure
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Two-person interaction detection using body-pose features and multiple instance learning
inferred← citeshttps://doi.org/10.1109/cvprw.2012.6239348openalex-snapshot
Violent flows: Real-time detection of violent crowd behavior
inferred← citeshttps://doi.org/10.1109/cvprw.2013.46openalex-snapshot
Evaluating New Variants of Motion Interchange Patterns
inferred← citeshttps://doi.org/10.1109/cvprw.2014.81openalex-snapshot
A Piggyback Representation for Action Recognition
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Action Recognition Using Spatio-Temporal Distance Classifier Correlation Filter
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A Novel Orientation-Context Descriptor and Locality-Preserving Fisher Discrimination Dictionary Learning for Action Recognition
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Human action identification and search in video files
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A Semantical & Analytical Approach for Zero Shot Gesture Learning
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A space-time SURF descriptor and its application to action recognition with video words
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Detection of violent crowd behavior based on statistical characteristics of the optical flow
inferred← citeshttps://doi.org/10.1109/fskd.2018.8686921openalex-snapshot
Human Action Recognition Based on Sparse LSTM Auto-encoder and Improved 3D CNN
inferred← citeshttps://doi.org/10.1109/fuzzy.2011.6007666openalex-snapshot
Human action recognition via sum-rule fusion of fuzzy K-Nearest Neighbor classifiers
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Body Partition Refinement Dynamic Graph Convolutional Network for Skeleton-based Action Recognition
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Densely sampled noiseless optical flow for motion based visual activity analysis
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Indoor Smart Home Action Recognition over Multi-videos Surveillance System
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Human activities recognition based on poisson equation evaluation and bidirectional 2DPCA
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Improving human body part detection using deep learning and motion consistency
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New approach for moving point detection: Application to video space-time description
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Feature and decision level fusion for action recognition
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Human Action Recognition using ConvLSTM with GAN and transfer learning
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Student Activity Recognition in Classroom Environments Using Transfer Learning
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An optical flow based approach for action recognition
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Human action recognition in surveillance video of a computer laboratory
inferred← citeshttps://doi.org/10.1109/iccpct.2016.7530365openalex-snapshot
Recognition of human-human interaction using CWDTW
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Human activity recognition: A review
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Sparse representations of clustered video shots for action recognition
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Review on Human Action Recognition
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Detection of human actions from a single example
inferred← citeshttps://doi.org/10.1109/iccv.2011.6126397openalex-snapshot
Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories
inferred← citeshttps://doi.org/10.1109/iccv.2013.342openalex-snapshot
The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection
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