Automatic video-based analysis of animal behaviors

Jialue Fan; Nan Jiang; Ying Wu

doi:10.1109/ICIP.2010.5652495

Automatic video-based analysis of animal behaviors

Jialue Fan^*, Nan Jiang, Ying Wu

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

Vision-based animal behavior analysis is a critical and interesting problem for both biologists and computer vision scientists. In this paper, an automatic system for detecting behaviors of fruit flies is presented. Firstly, we propose an ellipse model to fit the contours of fruit flies, which efficiently detects fruit flies in a single frame. Then we associate the detection results together to form the trajectories. An AdaBoost classifier is used to analyze special behaviors of flies. The experiments show that our system can robustly track fruit flies and detect the fly behaviors with high recall rate in real time. This system has been adopted to aid biologists for research purposes.

Original language	English (US)
Title of host publication	2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages	1513-1516
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2010.5652495
State	Published - 2010
Event	2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong Duration: Sep 26 2010 → Sep 29 2010

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/Territory	Hong Kong
City	Hong Kong
Period	9/26/10 → 9/29/10

Keywords

Action detection
Video analysis
Vision application

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2010.5652495

Cite this

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title = "Automatic video-based analysis of animal behaviors",

abstract = "Vision-based animal behavior analysis is a critical and interesting problem for both biologists and computer vision scientists. In this paper, an automatic system for detecting behaviors of fruit flies is presented. Firstly, we propose an ellipse model to fit the contours of fruit flies, which efficiently detects fruit flies in a single frame. Then we associate the detection results together to form the trajectories. An AdaBoost classifier is used to analyze special behaviors of flies. The experiments show that our system can robustly track fruit flies and detect the fly behaviors with high recall rate in real time. This system has been adopted to aid biologists for research purposes.",

keywords = "Action detection, Video analysis, Vision application",

author = "Jialue Fan and Nan Jiang and Ying Wu",

year = "2010",

doi = "10.1109/ICIP.2010.5652495",

language = "English (US)",

isbn = "9781424479948",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "1513--1516",

booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",

}

Fan, J, Jiang, N & Wu, Y 2010, Automatic video-based analysis of animal behaviors. in 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings., 5652495, Proceedings - International Conference on Image Processing, ICIP, pp. 1513-1516, 2010 17th IEEE International Conference on Image Processing, ICIP 2010, Hong Kong, Hong Kong, 9/26/10. https://doi.org/10.1109/ICIP.2010.5652495

TY - GEN

T1 - Automatic video-based analysis of animal behaviors

AU - Fan, Jialue

AU - Jiang, Nan

AU - Wu, Ying

PY - 2010

Y1 - 2010

N2 - Vision-based animal behavior analysis is a critical and interesting problem for both biologists and computer vision scientists. In this paper, an automatic system for detecting behaviors of fruit flies is presented. Firstly, we propose an ellipse model to fit the contours of fruit flies, which efficiently detects fruit flies in a single frame. Then we associate the detection results together to form the trajectories. An AdaBoost classifier is used to analyze special behaviors of flies. The experiments show that our system can robustly track fruit flies and detect the fly behaviors with high recall rate in real time. This system has been adopted to aid biologists for research purposes.

AB - Vision-based animal behavior analysis is a critical and interesting problem for both biologists and computer vision scientists. In this paper, an automatic system for detecting behaviors of fruit flies is presented. Firstly, we propose an ellipse model to fit the contours of fruit flies, which efficiently detects fruit flies in a single frame. Then we associate the detection results together to form the trajectories. An AdaBoost classifier is used to analyze special behaviors of flies. The experiments show that our system can robustly track fruit flies and detect the fly behaviors with high recall rate in real time. This system has been adopted to aid biologists for research purposes.

KW - Action detection

KW - Video analysis

KW - Vision application

UR - http://www.scopus.com/inward/record.url?scp=78651068567&partnerID=8YFLogxK

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U2 - 10.1109/ICIP.2010.5652495

DO - 10.1109/ICIP.2010.5652495

M3 - Conference contribution

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SN - 9781424479948

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 1513

EP - 1516

BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings

T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010

Y2 - 26 September 2010 through 29 September 2010

ER -

Automatic video-based analysis of animal behaviors

Abstract

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Keywords

ASJC Scopus subject areas

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