A vision-based sign language recognition system using tied-mixture density HMM
Proceedings of the 6th international conference on Multimodal interfaces
Segmentation and Tracking of Multiple Moving Objects for Intelligent Video Analysis
BT Technology Journal
Bayesian background modeling for foreground detection
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
A Dynamic Conditional Random Field Model for Foreground and Shadow Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Texture-Based Method for Modeling the Background and Detecting Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time people localization and tracking through fixed stereo vision
Applied Intelligence
Semantics reinforcement and fusion learning for multimedia streams
Proceedings of the 6th ACM international conference on Image and video retrieval
Object detection using image reconstruction with PCA
Image and Vision Computing
Scene modeling and change detection in dynamic scenes: A subspace approach
Computer Vision and Image Understanding
SETh system spatio-temporal object tracking using combined color and motion features
ROCOM'09 Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology
Region-level motion-based foreground segmentation under a Bayesian network
IEEE Transactions on Circuits and Systems for Video Technology
Global Intensity Correction in Dynamic Scenes
International Journal of Computer Vision
Foreground segmentation for static video via multi-core and multi-modal graph cut
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Foreground and shadow detection based on conditional random field
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Multl-resolution background subtraction for dynamic scenes
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A label field fusion Bayesian model and its penalized maximum rand estimator for image segmentation
IEEE Transactions on Image Processing
Local histogram of figure/ground segmentations for dynamic background subtraction
EURASIP Journal on Advances in Signal Processing
Real-Time Adaptive Background Modeling for Multicore Embedded Systems
Journal of Signal Processing Systems
Adaptive foreground and shadow detection in image sequences
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Background subtraction framework based on local spatial distributions
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Fusing color and texture features for background model
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Automated scene understanding for airport aprons
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Background modeling using color, disparity, and motion information
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
An edge-based approach to motion detection
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Background modeling by subspace learning on spatio-temporal patches
Pattern Recognition Letters
Pattern Recognition Letters
Background subtraction using running Gaussian average and frame difference
ICEC'07 Proceedings of the 6th international conference on Entertainment Computing
Background subtraction based on multi-channel SILTP
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Moving shapes: a multiplayer game based on color detection running on public displays
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Background modeling methods for visual detection of maritime targets
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
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A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information. We introduce confidence maps - gray-scale images whose intensity is a function of our confidence that a pixel has changed - to fuse intermediate results and to represent the results of background subtraction. The latter is used to delineate a person's body by guiding contour collection to segment the person from the background. The method is tolerant to scene clutter, slow illumination changes, and camera noise, and runs in near real time on a standard platform.