Categorical representation and recognition of oscillatory motion patterns

James Davis; Aaron Bobick; Whitman Richards

doi:10.1109/CVPR.2000.855878

Categorical representation and recognition of oscillatory motion patterns

James Davis
, Aaron Bobick
, Whitman Richards

Research output: Contribution to journal › Conference article › peer-review

32 Scopus citations

Abstract

Many communicative behaviors in the animal kingdom consist of performing and recognizing specialized patterns of oscillatory motion. Here we present an approach to the representation and recognition of these oscillatory motions based on the categorical organization of a simple sinusoidal model having very specific and limited parameter values. This characterization is used to specify the types and layout of computation for recognizing the patterns. Results of the method are demonstrated with real oscillatory motions showing the viability of a structured categorical framework.

Original language	English
Pages (from-to)	628-635
Number of pages	8
Journal	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	1
DOIs	https://doi.org/10.1109/CVPR.2000.855878
State	Published - 2000
Event	IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000 - Hilton Head Island, SC, USA Duration: Jun 13 2000 → Jun 15 2000

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10.1109/CVPR.2000.855878

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title = "Categorical representation and recognition of oscillatory motion patterns",

abstract = "Many communicative behaviors in the animal kingdom consist of performing and recognizing specialized patterns of oscillatory motion. Here we present an approach to the representation and recognition of these oscillatory motions based on the categorical organization of a simple sinusoidal model having very specific and limited parameter values. This characterization is used to specify the types and layout of computation for recognizing the patterns. Results of the method are demonstrated with real oscillatory motions showing the viability of a structured categorical framework.",

author = "James Davis and Aaron Bobick and Whitman Richards",

year = "2000",

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note = "IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000 ; Conference date: 13-06-2000 Through 15-06-2000",

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AU - Bobick, Aaron

AU - Richards, Whitman

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AB - Many communicative behaviors in the animal kingdom consist of performing and recognizing specialized patterns of oscillatory motion. Here we present an approach to the representation and recognition of these oscillatory motions based on the categorical organization of a simple sinusoidal model having very specific and limited parameter values. This characterization is used to specify the types and layout of computation for recognizing the patterns. Results of the method are demonstrated with real oscillatory motions showing the viability of a structured categorical framework.

UR - https://www.scopus.com/pages/publications/0033681794

U2 - 10.1109/CVPR.2000.855878

DO - 10.1109/CVPR.2000.855878

M3 - Conference article

AN - SCOPUS:0033681794

SN - 1063-6919

VL - 1

SP - 628

EP - 635

JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

JF - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

T2 - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000

Y2 - 13 June 2000 through 15 June 2000

ER -

Categorical representation and recognition of oscillatory motion patterns

Abstract

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