CONDENSATION—Conditional Density Propagation for Visual Tracking
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Summary
The Condensation algorithm uses “factored sampling”, previously applied to the interpretation of static images, in which the probability distribution of possible interpretations is represented by a randomly generated set.
- Type
- article
- Published
- 1998-08-01
- Cited by
- 5,603
- References
- 57
- OpenAlex
- https://openalex.org/W2161406034
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6821810
Keywords
Kalman filter, Clutter, Artificial intelligence, Computer science, Set (abstract data type)
References
- Fitting Parameterized 3-D Models to Images
- An introduction to splines for use in computer graphics and geometric modeling
- Adaptive filtering prediction and control
- Hands: A Pattern Theoretic Study of Biological Shapes
- Tracking with Kalman snakes
- Data association methods for tracking systems
- Tracking with rigid models
- Building and using flexible models incorporating grey-level information
- A framework for spatiotemporal control in the tracking of visual contours
- On optimal ℓ∞ to ℓ∞ filtering
- Visual tracking of known three-dimensional objects
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Applied optimal estimation
- Affine structure from motion.
- Natural and artificial low-level seeing systems - Visual interpretation of known objects in constrained scenes
- Model-based vision: a program to see a walking person
- The Representation and Matching of Pictorial Structures
- Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition
- Learning to Track the Visual Motion of Contours
- Recognition by Linear Combinations of Models
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- The Gaussian Particle Filter for Diagnosis of Non-Linear Systems
- Vision Based Hand Puppet
- Sensor fusion techniques for cooperative localization in robot teams
- Developing a person guidance module for hospital robots
- Detection-assisted Object Tracking by Mobile Cameras
- Real-time Particle Filters Using Mixtures of Samples Sets
- Robust visual detection and tracking of complex objects : applications to space autonomous rendez-vous and proximity operations. (Détection et suivi visuels robustes d'objets complexes : applications au rendezvous spatial autonome)
- Curvilinear Structures Segmentation and Tracking in Interventional Imaging
- Learning Gestures for Customizable Human-Computer Interaction in the Operating Room
- A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation
- Labeling hypergraph-structured data using markov network
- Hand Motion Prediction for Distributed Virtual Environments
- Pedestrian Recognition in Far-Infrared Images by Combining Boosting-Based Detection and Skeleton-Based Stochastic Tracking
- PageRank Tracker: From Ranking to Tracking
- Exemplar-Based Human Action Pose Correction
- Distributed Object Detection With Linear SVMs
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