Proceedings ArticleDOI
Improved directional lifting-based discrete wavelet transform for low resolution moving object detection
Chih-Hsien Hsia,Jing-Ming Guo +1 more
- pp 2457-2460
TLDR
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.Abstract:
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.read more
Citations
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Journal ArticleDOI
A new method of moving object detection using adaptive filter
TL;DR: A new model that uses a least-mean-square scheme to train the mask operation for low-resolution images, which effectively reduces computational cost for both fake motion environment and real-time detection of moving objects.
Proceedings ArticleDOI
Spatial domain complexity reduction method for depth image based rendering using wavelet transform
TL;DR: Results indicate that the proposed method not only preserves the vertical texture but also reduces at least 60% of the computing time of the DIBR system.
Proceedings ArticleDOI
Video Segmentation for Moving Object Detection Using Local Change & Entropy Based Adaptive Window Thresholding
TL;DR: Investigational results show the proposed thresholding algorithm accomplishes well for change detection with high efficiency, and an entropy based real-time adaptive non-parametric window thresholding algorithms is anticipated in this research.
Wavelet-Based Technique for Mobile Device with Low Resolution Depth Image-Based Rendering
Shengrong Lu,Chih-Hsien Hsia,Wei-Han Cheng,Hsin-Ting Li,Jen-Shiun Chiang,Ling Zhang,Hsien-Wei Tseng,Cihun-Siyong Alex Gong +7 more
TL;DR: This paper proposes a method which is based on discrete wavelet transform and adaptive edge-oriented smoothing process, to speed up the computing of the DIBR system and preserves the original texture.
Gradual Color Clustering Elimination as a Novel and Efficient method for Outdoor Image Segmentation
Hossein Abbasi,Salwani Mohd,Nilam Nur Amir Sjarif,Morteza Abbasi,Mohamad Zulkefli Adam,Siti Sophiayati Yuhaniz +5 more
TL;DR: In this paper, a method called gradual color cluster elimination (GCCE) has been proposed for outdoor image segmentation and object recognition in outdoor images by utilizing amulti-phase procedure through a multi-resolution platform, based on self-organizing neural network.
References
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Journal ArticleDOI
Adaptive Directional Lifting-Based Wavelet Transform for Image Coding
TL;DR: Experimental results show that the proposed ADL-based image coding technique outperforms JPEG 2000 in both PSNR and visual quality, with the improvement up to 2.0 dB on images with rich orientation features.
Journal ArticleDOI
Real time multiple objects tracking and identification based on discrete wavelet transform
Fang-Hsuan Cheng,Yu-Liang Chen +1 more
TL;DR: A new method for detecting and tracking multiple moving objects based on discrete wavelet transform and identifying the moving objects by their color and spatial information is proposed and the experimental results prove the feasibility and usefulness of this method.
Journal ArticleDOI
Double-change-detection method for wavelet-based moving-object segmentation
TL;DR: In this paper, a method for moving-object segmentation using three successive frames is proposed, where the change detection method is used twice in wavelet domain and the intersect operation is applied to obtain the moving object edge map and further shape information.
Journal ArticleDOI
A fast Discrete Wavelet Transform algorithm for visual processing applications
TL;DR: The proposed SMDWT has been proved as a highly efficient and independent processing to yield target subbands, which can be applied to real-time visual applications, such as moving object detection and tracking, texture segmentation, image/video compression, and any possible DWT-based applications.
Proceedings ArticleDOI
Background Estimation and Adaptation Model with Light-Change Removal for Heavily Down-Sampled Video Surveillance Signals
TL;DR: Experiments show that a local contrast enhancement applied prior to down-sampling improves detection sensitivity, arid combined with the shifted sealed difference and me Wronskian determinant operators provides the best background/foreground detection.
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Efficient modified directional lifting-based discrete wavelet transform for moving object detection
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