Bird schistosomes and cases of human cercarial dermatitis occur worldwide, but the number of cases is not monitored. Experiments with two schistosomes, namely Trichobilharzia szidati and T. regenti, show that they possess potent tools to penetration bird and mammalian skin, as well as exhibit species-specific migration patterns within vertebrate bodies. Therefore, the infections may affect diff...

Identifying bird species in audio recordings is a challenging field of research. In this paper, we summarize a method for large-scale bird sound classification in the context of the LifeCLEF 2017 bird identification task. We used a variety of convolutional neural networks to generate features extracted from visual representations of field recordings. The BirdCLEF 2017 training dataset consist o...

To assist nature observation, we take on the challenge of detecting the species of a flying bird using a single camera. We study the bird flying data and find that a bird body axis is an invariant dimension during flight. We then develop a model-based detection approach that verifies the body axis information with the known bird flying dynamics. As a commonly used method, an extended Kalman fil...

Proteinase Inhibitors: Medical and Biological Aspects (Katunuma, N., ed.), pp. 97-109, Springer-Verlag Co., New York Roisen, F. J., Wilson, F. J., Yorke, G., Inczedy-Marcsek, M. & Hirabayashi, T. (19836) J. Muscle Res. Cell. Motility 4, 163-175 Schwartz, W. N. & Bird, J . W. C. (1977) Biochem. J . 167,811 -820 St. John, A. C., McElligott, M. A., Lee, J. A., Keaton, K. S., Yorke, G . , Roisen, F...

The formation of cross-modal object representations was investigated using a novel paradigm that was previously successful in establishing unimodal visual category learning in monkeys and humans. The stimulus set consisted of six categories of bird shapes and sounds that were morphed to create different exemplars of each category. Subjects learned new cross-modal bird categories using a one-bac...

The goal of this project is to use machine learning and computer vision techniques to identify an object in an image. More specifically, given an image of a bird, we would like to identify what species of bird it is. To do this, we have implemented a two step process; first identify the characteristics of the bird in the image, then use those characteristics to predict what species of bird it i...

Automatic identification of bird species by their vocalization is studied in this paper. Bird sounds are represented with two different parametric representations: (i) the mel-cepstrum parameters and (ii) a set of low-level signal parameters, both of which have been found useful for bird species recognition. Recognition is performed in a decision tree with support vector machine (SVM) classifie...

—Little is known about the population status of many marsh-dependent birds in North America but recent efforts have focused on collecting more reliable information and estimates of population trends. As part of that effort, a standardized survey protocol was developed in 1999 that provided guidance for conducting marsh bird surveys throughout North America such that data would be consistent amo...