Classification of Gait Types Based on the Duty-factor

Preben Fihl, Thomas B. Moeslund

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

6 Citationer (Scopus)
2091 Downloads (Pure)

Resumé

This paper deals with classification of human gait types based on the notion that different gait types are in fact different types of locomotion, i.e., running is not simply walking done faster. We present the duty-factor, which is a descriptor based on this notion. The duty-factor is independent on the speed of the human, the cameras setup etc. and hence a robust descriptor for gait classification. The dutyfactor is basically a matter of measuring the ground support of the feet with respect to the stride. We estimate this by comparing the incoming silhouettes to a database of silhouettes with known ground support. Silhouettes are extracted using the Codebook method and represented using Shape Contexts. The matching with database silhouettes is done using the Hungarian method. While manually estimated duty-factors show a clear classification the presented system contains misclassifications due to silhouette noise and ambiguities in the database silhouettes.

OriginalsprogEngelsk
TitelIEEE Conference on Advanced Video and Signal Based Surveillance, 2007. AVSS 2007
Antal sider6
ForlagIEEE Computer Society Press
Publikationsdato2007
ISBN (Elektronisk)9781424416967
DOI
StatusUdgivet - 2007
BegivenhedIEEE Conference on Advanced Video and Signal Based Surveillance - London, Storbritannien
Varighed: 5 sep. 20077 sep. 2007
Konferencens nummer: 6

Konference

KonferenceIEEE Conference on Advanced Video and Signal Based Surveillance
Nummer6
LandStorbritannien
ByLondon
Periode05/09/200707/09/2007

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Ground supports
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Citer dette

Fihl, P., & Moeslund, T. B. (2007). Classification of Gait Types Based on the Duty-factor. I IEEE Conference on Advanced Video and Signal Based Surveillance, 2007. AVSS 2007 IEEE Computer Society Press. https://doi.org/10.1109/AVSS.2007.4425330
Fihl, Preben ; Moeslund, Thomas B. / Classification of Gait Types Based on the Duty-factor. IEEE Conference on Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Computer Society Press, 2007.
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title = "Classification of Gait Types Based on the Duty-factor",
abstract = "This paper deals with classification of human gait types based on the notion that different gait types are in fact different types of locomotion, i.e., running is not simply walking done faster. We present the duty-factor, which is a descriptor based on this notion. The duty-factor is independent on the speed of the human, the cameras setup etc. and hence a robust descriptor for gait classification. The dutyfactor is basically a matter of measuring the ground support of the feet with respect to the stride. We estimate this by comparing the incoming silhouettes to a database of silhouettes with known ground support. Silhouettes are extracted using the Codebook method and represented using Shape Contexts. The matching with database silhouettes is done using the Hungarian method. While manually estimated duty-factors show a clear classification the presented system contains misclassifications due to silhouette noise and ambiguities in the database silhouettes.",
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Fihl, P & Moeslund, TB 2007, Classification of Gait Types Based on the Duty-factor. i IEEE Conference on Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Computer Society Press, IEEE Conference on Advanced Video and Signal Based Surveillance, London, Storbritannien, 05/09/2007. https://doi.org/10.1109/AVSS.2007.4425330

Classification of Gait Types Based on the Duty-factor. / Fihl, Preben; Moeslund, Thomas B.

IEEE Conference on Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Computer Society Press, 2007.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Classification of Gait Types Based on the Duty-factor

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AU - Moeslund, Thomas B.

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N2 - This paper deals with classification of human gait types based on the notion that different gait types are in fact different types of locomotion, i.e., running is not simply walking done faster. We present the duty-factor, which is a descriptor based on this notion. The duty-factor is independent on the speed of the human, the cameras setup etc. and hence a robust descriptor for gait classification. The dutyfactor is basically a matter of measuring the ground support of the feet with respect to the stride. We estimate this by comparing the incoming silhouettes to a database of silhouettes with known ground support. Silhouettes are extracted using the Codebook method and represented using Shape Contexts. The matching with database silhouettes is done using the Hungarian method. While manually estimated duty-factors show a clear classification the presented system contains misclassifications due to silhouette noise and ambiguities in the database silhouettes.

AB - This paper deals with classification of human gait types based on the notion that different gait types are in fact different types of locomotion, i.e., running is not simply walking done faster. We present the duty-factor, which is a descriptor based on this notion. The duty-factor is independent on the speed of the human, the cameras setup etc. and hence a robust descriptor for gait classification. The dutyfactor is basically a matter of measuring the ground support of the feet with respect to the stride. We estimate this by comparing the incoming silhouettes to a database of silhouettes with known ground support. Silhouettes are extracted using the Codebook method and represented using Shape Contexts. The matching with database silhouettes is done using the Hungarian method. While manually estimated duty-factors show a clear classification the presented system contains misclassifications due to silhouette noise and ambiguities in the database silhouettes.

KW - Computer Vision

KW - Action Recognition

KW - Gait Analysis

U2 - 10.1109/AVSS.2007.4425330

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BT - IEEE Conference on Advanced Video and Signal Based Surveillance, 2007. AVSS 2007

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Fihl P, Moeslund TB. Classification of Gait Types Based on the Duty-factor. I IEEE Conference on Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Computer Society Press. 2007 https://doi.org/10.1109/AVSS.2007.4425330