Background Subtraction with Adaptive Spatio-Temporal Neighborhood Analysis
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Summary
This paper proposes an original and efficient joint pixel-region analysis technique able to automatically select the sampling rate with which pixels in different areas are checked out, while adapting the size of the neighborhood region considered.
- Type
- article
- Published
- 2008-01-01
- Cited by
- 17
- References
- 15
- Access
- Open access
- OpenAlex
- https://openalex.org/W60993738
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15602101
Keywords
Pixel, Background subtraction, Computer science, Artificial intelligence, Benchmark (surveying)
References
- A re-evaluation of mixture of Gaussian background modeling [video signal processing applications]
- Real Time Illumination Invariant Background Subtraction Using Local Kernel Histograms
- A texture-based method for modeling the background and detecting moving objects
- Adaptive background mixture models for real-time tracking
- Topology free hidden Markov models: application to background modeling
- Background subtraction techniques: a review
- Background Subtraction Based on a Robust Consensus Method
- Motion-based background subtraction using adaptive kernel density estimation
- Pfinder: real-time tracking of the human body
- Wallflower: principles and practice of background maintenance
- A statistical approach to background subtraction for surveillance systems
- Improved adaptive Gaussian mixture model for background subtraction
- Non-parametric Model for Background Subtraction
- A Background Maintenance Model in the Spatial-Range Domain
Cited by
- Etudes de méthodes et outils pour la cohérence visuelle en réalité mixte appliquée au patrimoine. (Studies of methods and tools for the really mixed visual coherence applied to the patrimony)
- Carried baggage detection and recognition in video surveillance with foreground segmentation
- A Novel Interest-Point-Based Background Subtraction Algorithm
- Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey
- Vision based automatic traffic condition interpretation
- Background Estimation in Kernel Space
- Model-based human upper body tracking using interest points in real-time video
- Recent Advanced Statistical Background Modeling for Foreground Detection - A Systematic Survey
- COMPLETE LIST OF PUBLICATIONS
- On the Role and the Importance of Features for Background Modeling and Foreground Detection
- Probabilistic foreground detector with camouflage detection for sterile zone monitoring
- Comparative study of motion detection methods for video surveillance systems
- Efficient local monitoring approach for the task of background subtraction
- Traditional Approaches in Background Modeling for Static Cameras
- Visual Tracking and Data Fusion for Automatic Video Surveillance
- Independent multimodal background subtraction
- Improved Parameters Updating Algorithm for the Detection of Moving Objects
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