Title
Automatic Detection And Decoding Of Honey Bee Waggle Dances
Abstract
The waggle dance is one of the most popular examples of animal communication. Forager bees direct their nestmates to profitable resources via a complex motor display. Essentially, the dance encodes the polar coordinates to the resource in the field. Unemployed foragers follow the dancer's movements and then search for the advertised spots in the field. Throughout the last decades, biologists have employed different techniques to measure key characteristics of the waggle dance and decode the information it conveys. Early techniques involved the use of protractors and stopwatches to measure the dance orientation and duration directly from the observation hive. Recent approaches employ digital video recordings and manual measurements on screen. However, manual approaches are very time-consuming. Most studies, therefore, regard only small numbers of animals in short periods of time. We have developed a system capable of automatically detecting, decoding and mapping communication dances in real-time. In this paper, we describe our recording setup, the image processing steps performed for dance detection and decoding and an algorithm to map dances to the field. The proposed system performs with a detection accuracy of 90.07%. The decoded waggle orientation has an average error of -2.92 degrees (+/- 7.37 degrees), well within the range of human error. To evaluate and exemplify the system's performance, a group of bees was trained to an artificial feeder, and all dances in the colony were automatically detected, decoded and mapped. The system presented here is the first of this kind made publicly available, including source code and hardware specifications. We hope this will foster quantitative analyses of the honey bee waggle dance.
Year
DOI
Venue
2017
10.1371/journal.pone.0188626
PLOS ONE
Field
DocType
Volume
Computer vision,Dance,Source code,Computer science,Waggle dance,Image processing,Human error,Artificial intelligence,Decoding methods,Animal communication,Honey bee
Journal
12
Issue
ISSN
Citations 
12
1932-6203
2
PageRank 
References 
Authors
0.42
7
4
Name
Order
Citations
PageRank
Fernando Wario120.42
Benjamin Wild2183.43
Raul Rojas3105.74
Tim Landgraf4327.36