Automatic video-based analysis of animal behaviors

Jialue Fan*, Nan Jiang, Ying Wu

*Corresponding author for this work

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

11 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 languageEnglish (US)
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages1513-1516
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period9/26/109/29/10

Keywords

  • Action detection
  • Video analysis
  • Vision application

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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    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 (pp. 1513-1516). [5652495] https://doi.org/10.1109/ICIP.2010.5652495