Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Salient Motion by Accumulating Directionally-Consistent Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Frame-Rate Omnidirectional Surveillance & Tracking of Camouflaged and Occluded Targets
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Foreground Object Detection in Changing Background Based on Color Co-Occurrence Statistics
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Detecting Persons on Changing Background
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Thresholding for Change Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Integrating intensity and texture differences for robust change detection
IEEE Transactions on Image Processing
Bayesian background modeling for foreground detection
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Reliable real-time foreground detection for video surveillance applications
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
SmartLabel: an object labeling tool using iterated harmonic energy minimization
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Real-time object tracking with relevance feedback
Proceedings of the 6th ACM international conference on Image and video retrieval
Line cameras for monitoring and surveillance sensor networks
Proceedings of the 15th international conference on Multimedia
Anthropocentric video segmentation for lecture webcasts
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Automatic detection of salient objects and spatial relations in videos for a video database system
Image and Vision Computing
Speed Performance Improvement of Vehicle Blob Tracking System
Multimodal Technologies for Perception of Humans
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Sub-optimal Camera Selection in Practical Vision Networks through Shape Approximation
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Video Object Segmentation Based on Feedback Schemes Guided by a Low-Level Scene Ontology
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Covariance Matrices for Crowd Behaviour Monitoring on the Escalator Exits
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
An In-Database Streaming Solution to Multi-camera Fusion
Globe '09 Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems
Semi-automatically labeling objects in images
IEEE Transactions on Image Processing
Robust vehicle blob tracking with split/merge handling
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Intelligent activity detection techniques for advanced HD video surveillance systems
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Virtual gazing in video surveillance
Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning
An algorithm for recovering camouflage errors on moving people
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
An experimental evaluation of foreground detection algorithms in real scenes
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set
Expert Systems with Applications: An International Journal
Tracking and Identification of Animals for a Digital Zoo
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Estimation of blind spot based on driver's view
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Motion pattern extraction and event detection for automatic visual surveillance
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Augmented reality flavors: gustatory display based on edible marker and cross-modal interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Meta cookie+: an illusion-based gustatory display
Proceedings of the 2011 international conference on Virtual and mixed reality: new trends - Volume Part I
Improved gaussian mixture model for the task of object tracking
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Monocular online learning for road region labeling and object detection from a moving platform
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Dynamic background discrimination with a recurrent network
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
A hybrid color-based foreground object detection method for automated marine surveillance
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Eigenspace-based fall detection and activity recognition from motion templates and machine learning
Expert Systems with Applications: An International Journal
Reducing frame rate for object tracking
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Combining edge and color features for tracking partially occluded humans
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Background modeling by subspace learning on spatio-temporal patches
Pattern Recognition Letters
Robust hierarchical multiple hypothesis tracker for multiple-object tracking
Expert Systems with Applications: An International Journal
Background subtraction with dirichlet processes
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
ART-based fusion of multi-modal perception for robots
Neurocomputing
A new framework for background subtraction using multiple cues
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Background subtraction based on multi-channel SILTP
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
A benchmark dataset for outdoor foreground/background extraction
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Machine Vision and Applications
Journal of Real-Time Image Processing
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This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes both gradual and sudden "once-off" changes. A Bayes decision rule for classification of background and foreground from selected feature vectors is formulated. Under this rule, different types of background objects will be classified from foreground objects by choosing a proper feature vector. The stationary background object is described by the color feature, and the moving background object is represented by the color co-occurrence feature. Foreground objects are extracted by fusing the classification results from both stationary and moving pixels. Learning strategies for the gradual and sudden "once-off" background changes are proposed to adapt to various changes in background through the video. The convergence of the learning process is proved and a formula to select a proper learning rate is also derived. Experiments have shown promising results in extracting foreground objects from many complex backgrounds including wavering tree branches, flickering screens and water surfaces, moving escalators, opening and closing doors, switching lights and shadows of moving objects.