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Human Motion Analysis
Found in: Ubiquitous, Autonomic and Trusted Computing, Symposia and Workshops on
By Joseph C. Tsai, Tzu-Lin Wong, Hsing-Ying Zhong, Shih-Ming Chang, Timothy K. Shih
Issue Date:July 2009
pp. 373-376
We propose a novel motion analysis algorithm by using the mean-shift segmentation and motion estimation technique. Mean shift algorithm is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking...
 
3D Skeleton Construction by Multi-view 2D Images and 3D Model Segmentation
Found in: International Conference on Ubi-Media Computing
By Shih-Ming Chang, Yi-Sheng Tsai, Hui-Huang Hsu, Kuan-Ching Li
Issue Date:July 2011
pp. 168-173
In this paper, we proposed method to develop 3D skeleton and 3D object clustering. In 3D skeleton, Firstly, we use multi-view human images and find the feature points between difference angles by Speeded Up Robust Features (SURF) method. Second, we use an ...
 
Multi-party k-Means Clustering with Privacy Consideration
Found in: Parallel and Distributed Processing with Applications, International Symposium on
By Teng-Kai Yu, D.T. Lee, Shih-Ming Chang, Justin Zhan
Issue Date:September 2010
pp. 200-207
The k-means clustering algorithm is a widely used scheme to solve the clustering problem which classifies a given set of n data points in m-dimensional space into k clusters, whose centers are obtained by the centroids of the points in the same cluster. Th...
 
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