About this Computer Science article
Heartbeat of a nest: Using imagers as biological sensors by Teresa Ko; Shaun Ahmadian; John Hicks; Mohammad Rahimi; Deborah Estrin; Stefano Soatto; Sharon Coe; Michael P. Hamilton is a Computer Science article available to read on EtoBox.
We present a scalable end-to-end system for vision-based monitoring of natural environments, and illustrate its use for the analysis of avian nesting cycles. Our system enables automated analysis of thousands of images, where manual processing would be infeasible. We automate the analysis of raw imaging data using statistics that are tailored to the task of interest. These “features” are a representation to be fed to classifiers that exploit spatial and temporal consistencies. Our testbed can detect the presence or absence of a bird with an accuracy of 82%, count eggs with an accuracy of 84%, and detect the inception of the nesting stage within a day. Our results demonstrate the challenges and potential benefits of using imagers as biological sensors. An exploration of system performance under varying image resolution and frame rate suggest that an __in situ__ adaptive vision system is technically feasible.
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Teresa Ko; Shaun Ahmadian; John Hicks; Mohammad Rahimi; Deborah Estrin; Stefano Soatto; Sharon Coe; Michael P. Hamilton
- Publisher
- ACM
- Published
- 2010
- Language
- EN
- Field
- Computer Science (Physical Sciences)