Name
Title | ||
|---|---|---|
Wildlife@Home: Combining Crowd Sourcing and Volunteer Computing to Analyze Avian Nesting Video. |
Abstract | ||
|---|---|---|
New camera technology is allowing avian ecologists to perform detailed studies of avian behavior, nesting strategies and predation in areas where it was previously impossible to gather data. Unfortunately, studies have shown mechanical triggers and a variety of sensors to be inadequate in capturing footage of small predators (e.g., snakes, rodents) or events in dense vegetation. Because of this, continuous camera recording is currently the most robust solution for avian monitoring, especially in ground nesting species. However, continuous video footage results in a data deluge, as monitoring enough nests to make biologically significant inferences results in massive amounts of data which is unclassifiable by humans alone. In the summer of 2012, Dr. Ellis-Felege gathered video footage from 63 sharp-tailed grouse (Tympanuchus phasianellus) nests, as well as preliminary interior least tern (Sternula antillarum) and piping plover (Charadrius melodus) nests, resulting in over 20,000 hours of video footage. In order to effectively analyze this video, a project combining both crowd sourcing and volunteer computing was developed, where volunteers can stream nesting video and report their observations, as well as have their computers download video for analysis by computer vision techniques. This provides a robust way to analyze the video, as user observations are validated by multiple views as well as the results of the computer vision techniques. This work provides initial results analyzing the effectiveness of the crowd sourced observations and computer vision techniques. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/eScience.2013.50 | eScience |
Keywords | Field | DocType |
nesting strategy,avian monitoring,analyze avian nesting video,avian behavior,stream nesting video,video footage,data deluge,computer vision technique,continuous video footage result,combining crowd sourcing,ground nesting species,avian ecologist,volunteer computing,computer vision | Data science,Tympanuchus,Data mining,World Wide Web,Computer science,Server,Wildlife,Feature extraction,Citizen science,Nest,Charadrius,Grouse | Conference |
ISSN | Citations | PageRank |
2325-372X | 1 | 0.67 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Travis Desell | 1 | 116 | 18.56 |
| Robert Bergman | 2 | 1 | 0.67 |
| Kyle Goehner | 3 | 4 | 1.50 |
| Ronald Marsh | 4 | 31 | 7.89 |
| Rebecca VanderClute | 5 | 1 | 0.67 |
| Susan Ellis-Felege | 6 | 6 | 2.96 |