Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detected motion classification with a double-background and a neighborhood-based difference
Pattern Recognition Letters
Real-time Human Motion Analysis by Image Skeletonization
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Detecting Moving Shadows: Algorithms and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Objects, Shadows and Ghosts in Video Streams by Exploiting Color and Motion Information
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Object Segmentation Using Feature Based Conditional Morphology
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
KNIGHT/spl trade/: a real time surveillance system for multiple and non-overlapping cameras
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Detection of moving cast shadows for object segmentation
IEEE Transactions on Multimedia
The use of vanishing point for the classification of reflections from foreground mask in videos
IEEE Transactions on Image Processing
On line background modeling for moving object segmentation in dynamic scenes
Multimedia Tools and Applications
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The problem of detecting moving objects is very important in many application contexts such as people detection and recognition, visual surveillance both in indoor and outdoor environments, and so on. In this paper we propose two additional modules for a generic motion detection algorithm. The first one regards the background updating procedure: the novelty of the proposed algorithm is its capability, unlike traditional similar algorithms, to efficiently update each point of the reference model, even if covered by a foreground object. The second one is a reliable algorithm for shadow removing: it is based on the correlation between regions selected from the reference image and the current one. In addition, with our approach, the artifacts detected in presence of sudden light changes are removed. The experiments have been performed on real image sequences acquired both in indoor and outdoor environments with natural and artificial lights.