Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
Explore this paper's citation graph
- Type
- article
- Published
- 2012-06-16
- Cited by
- 586
- References
- 11
- Access
- Open access
- OpenAlex
- https://openalex.org/W1969977005
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14096827
Keywords
Pixel, Computer science, Segmentation, Artificial intelligence, Foreground detection
References
- A consensus-based method for tracking: Modelling background scenario and foreground appearance
- Background subtraction techniques: a review
- ViBe: A Universal Background Subtraction Algorithm for Video Sequences
- A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
- Image change detection algorithms: a systematic survey
- Improved adaptive Gaussian mixture model for background subtraction
- Background Subtraction
- Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
- Non-parametric Model for Background Subtraction
- An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection
Cited by
- Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications
- Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos
- Detection and classification of anomalous events in water quality datasets within a smart city-smart bay project
- Survey on Background Modeling and Foreground Detection for Real Time Video Surveillance
- Moving object detection method based on complementary multi resolution background models
- Deep learning driven blockwise moving object detection with binary scene modeling
- Moving object detection based on incremental learning low rank representation and spatial constraint
- Carried baggage detection and recognition in video surveillance with foreground segmentation
- Pixel-parallel image processing techniques and algorithms
- Metrics to evaluate binary classifiers for video background extraction: weaknesses, strengths, and perspectives
- DIFFUSION BACKGROUND MODEL FOR MOVING OBJECTS DETECTION
- Evaluation of Recursive Background Subtraction Algorithms for Real-Time Passenger Counting at Bus Rapid Transit System
- Foreground Object Segmentation in Dynamic Background Scenarios
- Learning sharable models for robust background subtraction
- Hardware implementation of the PBAS foreground detection method in FPGA
- Depth extended online RPCA with spatiotemporal constraints for robust background subtraction
- Action recognition using a spatio-temporal model in dynamic scenes
- Multiple moving objects tracking for automated visual surveillance
- Fixed-point Gaussian Mixture Model for analysis-friendly surveillance video coding
- A Comparison of Background Subtraction Algorithms for Detecting Avian Nesting Events in Uncontrolled Outdoor Video
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