Name
Abstract | ||
|---|---|---|
Automated behaviour recognition is a challenging problem and it has recently gained momentum in biological behaviour studies. This paper describes a framework for tracking and automatical classification of the behaviour of multiple freely interacting Drosophila Melanogaster (fruit flies) in a low resolution video. The movements of interacting flies are recorded by Fly world, a dedicated imaging platform. Each individual fly is identified in every frame and tracked over the complete video without losing its identity. The orientation of the flies is tracked as well, by defining their head and tail positions. From the obtained tracks, temporal features for every pair of fly are derived, allowing quantitative analysis of the fly behaviour. In order to derive information of the fly social activity, we concentrate on 2 specific behaviours: 'sniffing' and 'chasing'. Experimental results show that the classifier is able to classify the correct behaviour with an average overall accuracy of 95.46%. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICPR.2014.403 | ICPR |
Keywords | DocType | ISSN |
biology computing,feature extraction,image classification,image recognition,image resolution,object tracking,video signal processing,Flyworld,automated social behaviour recognition,automatic behaviour classification,chasing behaviour,fly identification,fly orientation tracking,fly social activity,fruit flies,imaging platform,low resolution video,multiple freely interacting Drosophila Melanogaster,sniffing behaviour,temporal feature derivation | Conference | 1051-4651 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tanmay Nath | 1 | 0 | 0.68 |
| Guangda Liu | 2 | 0 | 1.01 |
| Bassem Hassan | 3 | 0 | 0.68 |
| Barbara Weyn | 4 | 0 | 0.68 |
| Steve De Backer | 5 | 200 | 15.14 |
| Paul Scheunders | 6 | 1190 | 102.87 |