View invariant gesture recognition using the CSEMSwissRanger SR-2 camera

Research output: Contribution to journalJournal articleResearchpeer-review

16 Citations (Scopus)

Abstract

This paper introduces the use of range information acquired by a CSEM SwissRanger SR-2 camera for view invariant recognition of one and two arms gestures. The range data enables motion detection and 3D representation of gestures. Motion is detected by double difference range images and filtered by a hysteresis bandpass filter. Gestures are represented by concatenating harmonic shape contexts over time. This representation allows for a view invariant matching of the gestures. The system is trained on gestures from one viewpoint and evaluated on gestures from other viewpoints. The results show a recognition rate of 93.75%.
Original languageEnglish
JournalInternational Journal of Intelligent Systems Technologies and Applications
Volume5
Issue number3/4
Pages (from-to)295-303
Number of pages13
ISSN1740-8865
DOIs
Publication statusPublished - 2008

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Gesture recognition
Bandpass filters
Hysteresis
Cameras

Cite this

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title = "View invariant gesture recognition using the CSEMSwissRanger SR-2 camera",
abstract = "This paper introduces the use of range information acquired by a CSEM SwissRanger SR-2 camera for view invariant recognition of one and two arms gestures. The range data enables motion detection and 3D representation of gestures. Motion is detected by double difference range images and filtered by a hysteresis bandpass filter. Gestures are represented by concatenating harmonic shape contexts over time. This representation allows for a view invariant matching of the gestures. The system is trained on gestures from one viewpoint and evaluated on gestures from other viewpoints. The results show a recognition rate of 93.75{\%}.",
author = "Holte, {Michael Boelstoft} and Moeslund, {Thomas B.} and Preben Fihl",
year = "2008",
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issn = "1740-8865",
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View invariant gesture recognition using the CSEMSwissRanger SR-2 camera. / Holte, Michael Boelstoft; Moeslund, Thomas B.; Fihl, Preben.

In: International Journal of Intelligent Systems Technologies and Applications, Vol. 5, No. 3/4, 2008, p. 295-303.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - View invariant gesture recognition using the CSEMSwissRanger SR-2 camera

AU - Holte, Michael Boelstoft

AU - Moeslund, Thomas B.

AU - Fihl, Preben

PY - 2008

Y1 - 2008

N2 - This paper introduces the use of range information acquired by a CSEM SwissRanger SR-2 camera for view invariant recognition of one and two arms gestures. The range data enables motion detection and 3D representation of gestures. Motion is detected by double difference range images and filtered by a hysteresis bandpass filter. Gestures are represented by concatenating harmonic shape contexts over time. This representation allows for a view invariant matching of the gestures. The system is trained on gestures from one viewpoint and evaluated on gestures from other viewpoints. The results show a recognition rate of 93.75%.

AB - This paper introduces the use of range information acquired by a CSEM SwissRanger SR-2 camera for view invariant recognition of one and two arms gestures. The range data enables motion detection and 3D representation of gestures. Motion is detected by double difference range images and filtered by a hysteresis bandpass filter. Gestures are represented by concatenating harmonic shape contexts over time. This representation allows for a view invariant matching of the gestures. The system is trained on gestures from one viewpoint and evaluated on gestures from other viewpoints. The results show a recognition rate of 93.75%.

U2 - 10.1504/IJISTA.2008.021292

DO - 10.1504/IJISTA.2008.021292

M3 - Journal article

VL - 5

SP - 295

EP - 303

JO - International Journal of Intelligent Systems Technologies and Applications

JF - International Journal of Intelligent Systems Technologies and Applications

SN - 1740-8865

IS - 3/4

ER -