Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Lighting Independent Background Subtraction
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Learning Patterns of Activity Using Real-Time Tracking
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
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Detecting Moving Shadows: Algorithms and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Moving Shadow and Object Detection in Traffic Scenes
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Image segmentation in video sequences: a probabilistic approach
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Detection of moving cast shadows for object segmentation
IEEE Transactions on Multimedia
Detecting moving objects, ghosts, and shadows in video streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust foreground segmentation based on two effective background models
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
A spatially distributed model for foreground segmentation
Image and Vision Computing
IEEE Transactions on Circuits and Systems for Video Technology
Region-level motion-based foreground segmentation under a Bayesian network
IEEE Transactions on Circuits and Systems for Video Technology
Tricolor attenuation model for shadow detection
IEEE Transactions on Image Processing
Foreground and shadow detection based on conditional random field
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
A boosting discriminative model for moving cast shadow detection
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
K-means based segmentation for real-time zenithal people counting
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Adaptive shadow estimator for removing shadow of moving object
Computer Vision and Image Understanding
Detecting object boundaries using low-, mid-, and high-level information
Computer Vision and Image Understanding
Vs-star: A visual interpretation system for visual surveillance
Pattern Recognition Letters
Conditional random field for text segmentation from images with complex background
Pattern Recognition Letters
Learning conditional random fields for classification of hyperspectral images
IEEE Transactions on Image Processing
Joint random field model for all-weather moving vehicle detection
IEEE Transactions on Image Processing
An efficient and robust moving shadow removal algorithm and its applications in ITS
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking
International Journal of Computer Vision
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Shadow detection: A survey and comparative evaluation of recent methods
Pattern Recognition
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
A sighting-aware obstacle mobility model for ad hoc network
International Journal of Wireless and Mobile Computing
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This paper proposes a dynamic conditional random field (DCRF) model for foreground object and moving shadow segmentation in indoor video scenes. Given an image sequence, temporal dependencies of consecutive segmentation fields and spatial dependencies within each segmentation field are unified by a dynamic probabilistic framework based on the conditional random field (CRF). An efficient approximate filtering algorithm is derived for the DCRF model to recursively estimate the segmentation field from the history of observed images. The foreground and shadow segmentation method integrates both intensity and gradient features. Moreover, models of background, shadow, and gradient information are updated adaptively for nonstationary background processes. Experimental results show that the proposed approach can accurately detect moving objects and their cast shadows even in monocular grayscale video sequences.