Action Recognition from Arbitrary Views using 3D Exemplars
Explore this paper's citation graph
- Type
- article
- Published
- 2007-12-26
- Cited by
- 520
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W2166070055
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1407568
Keywords
Computer science, Artificial intelligence, Novelty, Hidden Markov model, Viewpoints
References
- Learning Graphical Models of Images, Videos and Their Spatial Transformations
- Actions as space-time shapes
- Free viewpoint action recognition using motion history volumes
- View Invariance for Human Action Recognition
- Real-time object detection for "smart" vehicles
- Recognizing action events from multiple viewpoints
- Recognizing human actions in videos acquired by uncalibrated moving cameras
- Probabilistic tracking in a metric space
- A tutorial on hidden Markov models and selected applications in speech recognition
- View-Invariant Representation and Recognition of Actions
- Recognition of human body motion using phase space constraints
- Recognizing action at a distance
- Invariant features for 3-D gesture recognition
- Tied mixture continuous parameter modeling for speech recognition
- Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching
- Learning dynamics for exemplar-based gesture recognition
- Real-time recognition of activity using temporal templates
- Shadow puppetry
- View invariant identification of pose sequences for action recognition
- Irrelevant Features and the Subset Selection Problem
Cited by
- Improving representation and classification of image and video data for surveillance applications
- UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
- Multiple Tasks are Better than One: Multi-task Learning and Feature Selection for Head Pose Estimation, Action Recognition and Event Detection
- Modeling Shape, Appearance and Motion for Human Movement Analysis
- Reconnaissance d'actions en temps réel à partir d'exemples. (Real time actions recognition from examplars)
- Modélisations polynomiales hiérarchisées applications à l'analyse de mouvements complexes
- View-independent Video Synchronization from Temporal Self-similarities
- Learning affinities of exemplar videos for multi-view action recognition
- Hybrid classifier based human activity recognition using the silhouette and cells
- Grassmann Learning for Recognition and Classification
- Synchronisation de Séquences d'Images Indépendamment des Points de Vue
- Capacités audiovisuelles en robot humanoïde NAO
- Articulated models for human motion analysis
- Jointly Learning Multiple Sequential Dynamics for Human Action Recognition
- Exploitation de la supervision faible pour l'analyse des vidéos. (Leveraging weak supervision for video understanding)
- A Hybrid ART-RBF Network Architecture for Viewpoint Invariant Human Activity Recognition
- Evaluation of local spatial-temporal features for cross-view action recognition
- A bag-of-regions representation for video classification
- Automatic Video-based Analysis of Human Motion
- Discriminative vision-based recovery and recognition of human motion
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