Publication detail

Measurement of joint position for human recognition by locomotion.

ŠMIRG, O. SMÉKAL, Z. FAÚNDEZ ZANUY, M.

Original Title

Measurement of joint position for human recognition by locomotion.

English Title

Measurement of joint position for human recognition by locomotion.

Type

journal article - other

Language

en

Original Abstract

The article deals with obtaining data for identifying people by locomotion. Joints are monitored to determine locomotion. This article is focused on the ankle. Position of ankle is detected on the human silhouette, which is separate from video. The method for silhouette separation is Mixture of Gaussian. K-mean clustering and distance algorithm are used for identification of joins position from the human silhouette. On the end of article we compare the manual with automatic ankle detection.

English abstract

The article deals with obtaining data for identifying people by locomotion. Joints are monitored to determine locomotion. This article is focused on the ankle. Position of ankle is detected on the human silhouette, which is separate from video. The method for silhouette separation is Mixture of Gaussian. K-mean clustering and distance algorithm are used for identification of joins position from the human silhouette. On the end of article we compare the manual with automatic ankle detection.

Keywords

Mixture of Gaussians, detection of join position, Silhouette, K-mean clustering

RIV year

2011

Released

20.06.2011

Pages from

1

Pages to

5

Pages count

5

BibTex


@article{BUT74913,
  author="Ondřej {Šmirg} and Zdeněk {Smékal} and Marcos {Faúndez Zanuy}",
  title="Measurement of joint position for human recognition by locomotion.",
  annote="The article deals with obtaining data for identifying people by locomotion. Joints are monitored to determine locomotion. This article is focused on the ankle. Position of ankle is detected on the human silhouette, which is separate from video. The method for silhouette separation is Mixture of Gaussian. K-mean clustering and distance algorithm are used for identification of joins position from the human silhouette. On the end of article we compare the manual with automatic ankle detection.",
  chapter="74913",
  number="2",
  volume="2011",
  year="2011",
  month="june",
  pages="1--5",
  type="journal article - other"
}