Recognizing Animals Using Motion Parts

Kong Changming; A Calway; M Mirmehdi

Recognizing Animals Using Motion Parts

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Abstract

We describe a method for automatically recognizing animals in image sequences based on their distinctive locomotive movement patterns. The 2-D motion field associated with the animal is represented using a ""configuration of motion parts"" model, the characteristics of which are learned from training data. We adopt an unsupervised approach to learning model parameters, based on minimal a priori knowledge of the physical or locomotive characteristics of the animals concerned. Results are presented demonstrating excellent classification performance, with accuracy exceeding 98% on a test set consisting of over 100 sequences of 7 different species.

Translated title of the contribution	Recognizing Animals Using Motion Parts
Original language	English
Title of host publication	Unknown
Publisher	BMVA Press
Pages	796 - 808
Number of pages	12
ISBN (Print)	1901725294
Publication status	Published - Sept 2005

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of the 16th British Machine Vision Conference

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@inproceedings{27bc299385c44953a296cb62ffdabbdf,

title = "Recognizing Animals Using Motion Parts",

abstract = "We describe a method for automatically recognizing animals in image sequences based on their distinctive locomotive movement patterns. The 2-D motion field associated with the animal is represented using a {"}{"}configuration of motion parts{"}{"} model, the characteristics of which are learned from training data. We adopt an unsupervised approach to learning model parameters, based on minimal a priori knowledge of the physical or locomotive characteristics of the animals concerned. Results are presented demonstrating excellent classification performance, with accuracy exceeding 98\% on a test set consisting of over 100 sequences of 7 different species. ",

author = "Kong Changming and A Calway and M Mirmehdi",

note = "Conference Proceedings/Title of Journal: Proceedings of the 16th British Machine Vision Conference",

year = "2005",

month = sep,

language = "English",

isbn = "1901725294",

pages = "796 -- 808",

booktitle = "Unknown",

publisher = "BMVA Press",

}

TY - GEN

T1 - Recognizing Animals Using Motion Parts

AU - Changming, Kong

AU - Calway, A

AU - Mirmehdi, M

N1 - Conference Proceedings/Title of Journal: Proceedings of the 16th British Machine Vision Conference

PY - 2005/9

Y1 - 2005/9

N2 - We describe a method for automatically recognizing animals in image sequences based on their distinctive locomotive movement patterns. The 2-D motion field associated with the animal is represented using a ""configuration of motion parts"" model, the characteristics of which are learned from training data. We adopt an unsupervised approach to learning model parameters, based on minimal a priori knowledge of the physical or locomotive characteristics of the animals concerned. Results are presented demonstrating excellent classification performance, with accuracy exceeding 98% on a test set consisting of over 100 sequences of 7 different species.

AB - We describe a method for automatically recognizing animals in image sequences based on their distinctive locomotive movement patterns. The 2-D motion field associated with the animal is represented using a ""configuration of motion parts"" model, the characteristics of which are learned from training data. We adopt an unsupervised approach to learning model parameters, based on minimal a priori knowledge of the physical or locomotive characteristics of the animals concerned. Results are presented demonstrating excellent classification performance, with accuracy exceeding 98% on a test set consisting of over 100 sequences of 7 different species.

M3 - Conference Contribution (Conference Proceeding)

SN - 1901725294

SP - 796

EP - 808

BT - Unknown

PB - BMVA Press

ER -

Recognizing Animals Using Motion Parts

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