Ten lectures on wavelets
Robust multiple car tracking with occlusion reasoning
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Unsupervised Multiresolution Segmentation for Images with Low Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
A Texture-Based Method for Modeling the Background and Detecting Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient adaptive density estimation per image pixel for the task of background subtraction
Pattern Recognition Letters
A Framework for Model-Based Tracking Experiments in Image Sequences
International Journal of Computer Vision
Robust vehicle and traffic information extraction for highway surveillance
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Circuits and Systems for Video Technology
Flexible background mixture models for foreground segmentation
Image and Vision Computing
Detection of vehicles using Gabor filters and affine moment invariants from an image
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Joint random field model for all-weather moving vehicle detection
IEEE Transactions on Image Processing
Local histogram of figure/ground segmentations for dynamic background subtraction
EURASIP Journal on Advances in Signal Processing
Local spatial co-occurrence for background subtraction via adaptive binned kernel estimation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Fusion of luma and chroma GMMs for HMM-Based object detection
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Estimating traffic density using sounds of moving vehicles
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
Background subtraction with dirichlet processes
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
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Shadows of moving objects often obstruct robust visual tracking. We propose an HMM-based segmentation method which classifies in real time each pixel or region into three categories: shadows, foreground, and background objects. In the case of traffic monitoring movies, the effectiveness of the proposed method has been proven through experimental results.