Title :
Motion retrieval using Isomap
Author :
Suo, Ning ; Qian, Xu
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, Beijing, China
Abstract :
In this paper, we propose a new learning method in human motion data analysis. We use Isomap algorithm to reduce high dimensionality of motion´s features data. And Support Vector Machine (SVM) for clustering and handling new data. Then data driven decision trees based on multiple instance are automatically constructed to reflect the influence of each point during the comparison of motion similarity. The experimental results show that algorithm is effective.
Keywords :
data handling; decision trees; image motion analysis; image retrieval; learning (artificial intelligence); pattern clustering; support vector machines; Isomap algorithm; SVM; data clustering; data driven decision trees; data handling; high dimensionality; human motion data analysis; learning method; motion retrieval; multiple instance; support vector machine; Databases; Feature extraction; Humans; Learning; Learning systems; Manifolds; Support vector machines; Isomap; Motion retrieval; Support Vector Machine (SVM);
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5656103
