@inproceedings{596dc17f871b4374b136825e9015f6d9,
title = "Motion stream segmentation and recognition by classification",
abstract = "This paper proposes a classification-based approach to segmenting and recognizing patterns in motion signals. Feature vectors are extracted based on singular value decomposition (SVD) for classification. Multi-class support vector machine (SVM) classifiers with class probability estimates are explored for segmenting and recognizing motion streams. Experiments show that the proposed approach can find patterns in the multi-attribute motion streams with high accuracy.",
author = "Chuanjun Li and Kulkarni, {Punit R.} and B. Prabhakaran",
year = "2006",
language = "English",
isbn = "142440469X",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "V537--V540",
booktitle = "2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings",
note = "2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 ; Conference date: 14-05-2006 Through 19-05-2006",
}