Name
Abstract | ||
|---|---|---|
Here we present a new approach to automatically detect and count breeding greater flamingos (Phoenicopterus Roseus) on aerial photographs of their colonies. We consider a stochastic approach based on object processes also called marked point processes. The objects represent flamingos which are defined as ellipses. We formulate a Gibbs density, associated with the marked point process of ellipses, which is defined w.r.t a Poisson measure. Thus, the issue is reduced to an energy minimization, where the energy is composed of a regularization term (prior density), which introduces some constraints on the objects and their interactions, and a data term, which links the objects to the features to be extracted in the image. Then, we sample the process to extract the configuration of objects minimizing the energy by a new and fast birth-and-death dynamics, leading to the total number of birds. This approach gives counts with good precision compared to manual counts. Additionally, this approach does not need image pre-processing or supervision of the extraction by an operator thus considerably reducing the overall processing time required to get the estimate. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICASSP.2008.4517809 | Las Vegas, NV |
Keywords | Field | DocType |
feature extraction,image processing,stochastic processes,Gibbs density,Poisson measure,aerial photograph,automatic flamingo detection,birth-and-death dynamics,death process,energy minimization,greater flamingo breeding count,image feature extraction,image pre-processing,marked point process,multiple birth process,regularization term,stochastic process,Object extraction,bird colony,birth/death dynamics,marked point processes,stochastic modeling | Pattern recognition,Computer science,Point process,Image processing,Stochastic process,Feature extraction,Regularization (mathematics),Operator (computer programming),Artificial intelligence,Poisson distribution,Energy minimization | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-1484-0 | 978-1-4244-1484-0 | 16 |
PageRank | References | Authors |
1.30 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stig Descamps | 1 | 16 | 1.30 |
| Xavier Descombes | 2 | 16 | 1.30 |
| Arnaud Bechet | 3 | 16 | 1.30 |
| Josiane Zerubia | 4 | 16 | 1.30 |