Extracting gestural motion trajectories

Ming Hsuan Yang, Narendra Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

This paper is concerned with the extraction of spatiooral patterns in video sequences with focus on trajectories of gestural motions associated with American Sign Language. An algorithm is described to extract the motion trajectories of salient features such as human palms from an image sequence. First, motion segmentation of the image sequence is generated based on a multiscale segmentation of the frames and attributed graph matching of regions across frames. This produces region correspondences and their affine transformations. Second, colors of the moving regions are used to determine skin regions. Third, the head and palm regions are identified based on the shape and size of skin regions in motion. Finally, affine transformations defining a region's motion between successive frames are concatenated to construct the region's motion trajectory. Experimental results showing the extracted motion trajectories are presented.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
PublisherIEEE Computer Society
Pages10-15
Number of pages6
ISBN (Print)0818683449, 9780818683442
DOIs
Publication statusPublished - 1998 Jan 1
Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
Duration: 1998 Apr 141998 Apr 16

Publication series

NameProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Conference

Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
CountryJapan
CityNara
Period98/4/1498/4/16

Fingerprint

Trajectories
Skin
Color

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Yang, M. H., & Ahuja, N. (1998). Extracting gestural motion trajectories. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 (pp. 10-15). [670918] (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). IEEE Computer Society. https://doi.org/10.1109/AFGR.1998.670918
Yang, Ming Hsuan ; Ahuja, Narendra. / Extracting gestural motion trajectories. Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society, 1998. pp. 10-15 (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998).
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abstract = "This paper is concerned with the extraction of spatiooral patterns in video sequences with focus on trajectories of gestural motions associated with American Sign Language. An algorithm is described to extract the motion trajectories of salient features such as human palms from an image sequence. First, motion segmentation of the image sequence is generated based on a multiscale segmentation of the frames and attributed graph matching of regions across frames. This produces region correspondences and their affine transformations. Second, colors of the moving regions are used to determine skin regions. Third, the head and palm regions are identified based on the shape and size of skin regions in motion. Finally, affine transformations defining a region's motion between successive frames are concatenated to construct the region's motion trajectory. Experimental results showing the extracted motion trajectories are presented.",
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Yang, MH & Ahuja, N 1998, Extracting gestural motion trajectories. in Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998., 670918, Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998, IEEE Computer Society, pp. 10-15, 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998, Nara, Japan, 98/4/14. https://doi.org/10.1109/AFGR.1998.670918

Extracting gestural motion trajectories. / Yang, Ming Hsuan; Ahuja, Narendra.

Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society, 1998. p. 10-15 670918 (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper is concerned with the extraction of spatiooral patterns in video sequences with focus on trajectories of gestural motions associated with American Sign Language. An algorithm is described to extract the motion trajectories of salient features such as human palms from an image sequence. First, motion segmentation of the image sequence is generated based on a multiscale segmentation of the frames and attributed graph matching of regions across frames. This produces region correspondences and their affine transformations. Second, colors of the moving regions are used to determine skin regions. Third, the head and palm regions are identified based on the shape and size of skin regions in motion. Finally, affine transformations defining a region's motion between successive frames are concatenated to construct the region's motion trajectory. Experimental results showing the extracted motion trajectories are presented.

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Yang MH, Ahuja N. Extracting gestural motion trajectories. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society. 1998. p. 10-15. 670918. (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). https://doi.org/10.1109/AFGR.1998.670918