Digital Image Processing
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Video enhancement using per-pixel virtual exposures
ACM SIGGRAPH 2005 Papers
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Seminorms in Adaptive Lifting Schemes and Applications to Image Analysis and Compression
Journal of Mathematical Imaging and Vision
Tracking of Moving Objects by Using a Low Resolution Image
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Image Denoising Algorithm Based on the Directional Adaptive Red-Black Wavelet Transform
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 01
Fast connected-component labeling
Pattern Recognition
An Efficient Moving Object Detection Algorithm Using Multi-mask
FSKD '09 Proceedings of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 05
Directional wavelet transforms for prediction residuals in video coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
A 2-D orientation-adaptive prediction filter in lifting structures for image coding
IEEE Transactions on Image Processing
Adaptive Directional Lifting-Based Wavelet Transform for Image Coding
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Time Scales in Video Surveillance
IEEE Transactions on Circuits and Systems for Video Technology
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Moving object detection is a fundamental task on intelligent video surveillance systems, because it provides a focus of attention for further investigation. Thus, video object segmentation, which extracts the shape information of moving object from a video sequence, is a key operation for surveillance system. In this study, the current state-of-the-art in moving objects segmentation for intelligent video surveillance has been surveyed. An efficient modified directional lifting-based 9/7 discrete wavelet transform (MDLDWT) structure is proposed to further reduce the computational cost and preserve the fine shape information in low resolution image. Although perfect moving object detection in a practical environment is a challenging task due to the vague object shape issues in the low resolution configuration, the experimental results document that the proposed low-complexity MDLDWT scheme can provide more precise detection rate for multiple moving objects, and the fine shape information can be effectively preserved for the real-time video surveillance applications in both indoor and outdoor environments.