Detecting Moving Shadows: Algorithms and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Normalization with Time-Dependent Intrinsic Images for Video Surveillance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cast shadow segmentation using invariant color features
Computer Vision and Image Understanding
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Cast shadow detection in video segmentation
Pattern Recognition Letters
A Dynamic Conditional Random Field Model for Foreground and Shadow Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Planar Objects and Their Shadows in Motion Sequences
International Journal of Computer Vision
A shadow elimination approach in video-surveillance context
Pattern Recognition Letters
Shadow detection for moving objects based on texture analysis
Pattern Recognition
Camera calibration and light source orientation from solar shadows
Computer Vision and Image Understanding
Modelling and segmentation of colour images in polar representations
Image and Vision Computing
Shadow resistant tracking using inertia constraints
Pattern Recognition
Learning and Removing Cast Shadows through a Multidistribution Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shadow detection in colour high-resolution satellite images
International Journal of Remote Sensing
Shadow removal for robust vehicle detection
Machine Graphics & Vision International Journal
A Robust Video-Based Algorithm for Detecting Snow Movement in Traffic Scenes
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Entropy Minimization for Shadow Removal
International Journal of Computer Vision
The input-interface of Webcam applied in 3D virtual reality systems
Computers & Education
An efficient cast shadow removal for motion segmentation
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IEEE Transactions on Circuits and Systems for Video Technology
Efficient background subtraction and shadow removal for monochromatic video sequences
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Tricolor attenuation model for shadow detection
IEEE Transactions on Image Processing
A fast approach of object segmentation for video sequence
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Shadows Removal by Edges Matching
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Self shadow elimination algorithm for surveillance videos using ANOVA F test
Proceedings of the Third Annual ACM Bangalore Conference
Detection of strong shadows in monochromatic video streams
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Shadows attenuation for robust object recognition
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
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
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
Segmentation of motion objects from surveillance video sequences using partial correlation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Camera calibration and geo-location estimation from two shadow trajectories
Computer Vision and Image Understanding
Adaptive shadow estimator for removing shadow of moving object
Computer Vision and Image Understanding
Multi-object detection and tracking by stereo vision
Pattern Recognition
A three-stage approach to shadow field estimation from partial boundary information
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Illumination normalization with time-dependent intrinsic images for video surveillance
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Adaptive foreground and shadow detection in image sequences
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Advances in background updating and shadow removing for motion detection algorithms
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
A novel shadow detection algorithm for real time visual surveillance applications
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Detection of moving objects by independent component analysis
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Evaluation and improvements of a real-time background subtraction method
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
A survey of cast shadow detection algorithms
Pattern Recognition Letters
Shadow removal for foreground segmentation
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Synthetic ground truth dataset to detect shadows cast by static objects in outdoors
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
Journal of Signal Processing Systems
Reasoning about shadows in a mobile robot environment
Applied Intelligence
Exploring attractions and exhibits with interactive flashlights
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To prevent moving shadows being misclassified as moving objects or parts of moving objects, this paper presents an explicit method for detection of moving cast shadows on a dominating scene background. Those shadows are generated by objects moving between a light source and the background. Moving cast shadows cause a frame difference between two succeeding images of a monocular video image sequence. For shadow detection, these frame differences are detected and classified into regions covered and regions uncovered by a moving shadow. The detection and classification assume plane background and a nonnegligible size and intensity of the light sources. A cast shadow is detected by temporal integration of the covered background regions while subtracting the uncovered background regions. The shadow detection method is integrated into an algorithm for two-dimensional (2-D) shape estimation of moving objects from the informative part of the description of the international standard ISO/MPEG-4. The extended segmentation algorithm compensates first apparent camera motion. Then, a spatially adaptive relaxation scheme estimates a change detection mask for two consecutive images. An object mask is derived from the change detection mask by elimination of changes due to background uncovered by moving objects and by elimination of changes due to background covered or uncovered by moving cast shadows. Results obtained with MPEG-4 test sequences and additional sequences show that the accuracy of object segmentation is substantially improved in presence of moving cast shadows. Objects and shadows are detected and tracked separately