Feature selection for classification of variable length multiattribute motions

Chuanjun Li; Latifur Khan; Balakrishnan Prabhakaran

doi:10.1007/978-1-84628-799-2_7

Feature selection for classification of variable length multiattribute motions

Chuanjun Li, Latifur Khan, Balakrishnan Prabhakaran

The University of Texas at Dallas

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

25 Citations (Scopus)

Abstract

As a relatively newtype of multimedia, captured motion has its specific properties. The data of motions has multiple attributes to capture movements of multiple joints of a subject, and has different lengths for even similar motions. There are no row-to-row correspondences between data matrices of two motions.

Original language	English
Title of host publication	Multimedia Data Mining and Knowledge Discovery
Publisher	Springer London
Pages	116-137
Number of pages	22
ISBN (Print)	1846284368, 9781846284366
DOIs	https://doi.org/10.1007/978-1-84628-799-2_7
Publication status	Published - 2007
Externally published	Yes

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BT - Multimedia Data Mining and Knowledge Discovery

PB - Springer London

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Feature selection for classification of variable length multiattribute motions

Abstract

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