Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Salient Motion by Accumulating Directionally-Consistent Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating intensity and texture differences for robust change detection
IEEE Transactions on Image Processing
Statistical modeling of complex backgrounds for foreground object detection
IEEE Transactions on Image Processing
Vision-based bicycle/motorcycle classification
Pattern Recognition Letters
Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A hardware architecture for real-time video segmentation utilizing memory reduction techniques
IEEE Transactions on Circuits and Systems for Video Technology
Background extraction using improved mode algorithm for visual surveillance applications
International Journal of Computational Science and Engineering
Background modeling by subspace learning on spatio-temporal patches
Pattern Recognition Letters
Spatially correlated background subtraction, based on adaptive background maintenance
Journal of Visual Communication and Image Representation
Robust decentralized multi-model adaptive template tracking
Pattern Recognition
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A novel algorithm, based on Kalman filtering is presented for updating the background image within video sequences. Unlike existing implementations of the Kalman filter for this task, our algorithm is able to deal with both gradual and sudden global illumination changes. The basic idea is to measure global illumination change and to use it as an external control of the filter. This allows the system to better fit the assumptions about the process to be modeled. Moreover, we propose methods to estimate measurement noise variance and to deal with the problem of saturated pixels, to improve the accuracy and robustness of the algorithm. The algorithm has been successfully tested in a traffic surveillance task by comparing it to a background updating algorithm, based on Kalman filtering, taken from literature.