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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khansari, M. Rabiee, H.R. Asadi, M. Ghanbari, M. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran (Khansari, M.) |
| Abstract | This paper presents a shape prediction algorithm in a noisy video sequence based on pixel representation in the undecimated wavelet domain. In our algorithm for tracking of user-defined shapes in a noisy sequence of images, the amplitude of coefficients in the best basis tree expansion of the undecimated wavelet packet transform are used as feature vectors (FVs). FVs robustness against noise has been achieved through inherent denoising and edge component separation in the best basis selection algorithm. The algorithm uses these FVs to track the pixels of small square blocks located at the vicinity of the object boundary. Searching for the best-matched block has been performed using conventional block matching algorithm in the wavelet domain. Our experimental results show that the algorithm is robust to noise in case of object's shape translation, rotation and/or scaling and can be used to track both rigid and non-rigid shapes in image sequences |
| File Size | 2009806 |
| File Format | |
| ISBN | 1424400287 |
| DOI | 10.1109/MMMC.2006.1651362 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise robustness Shape Prediction algorithms Gaussian noise Noise shaping Wavelet domain Video sequences Noise level Wavelet packets Wavelet transforms Shape extraction Object tracking Undecimated Wavelet Packet White Gaussian Noise |
| Content Type | Text |
| Resource Type | Article |
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