All Outputs (3)

A computer vision approach to classification of birds in flight from video sequences
Presentation / Conference Contribution
Atanbori, J., Duan, W., Murray, J., Appiah, K., & Dickinson, P. (2015, September). A computer vision approach to classification of birds in flight from video sequences. Presented at Machine Vision of Animals and their Behaviour Workshop 2015, Swansea, UK

Bird populations are an important bio-indicator, ; so collecting reliable data is useful for ecologists helping conserve and manage fragile ecosystems. However, existing manual monitoring methods are labour-intensive, time-consuming, and error-prone.... Read More about A computer vision approach to classification of birds in flight from video sequences.

Using robots to understand animal social cognition
Presentation / Conference Contribution
Frohnwieser, A., Murray, J., Pike, T., & Wilkinson, A. (2015, March). Using robots to understand animal social cognition. Presented at ASAB Easter Conference 2015, Durham, UK

In recent years, robotic animals and humans have been used to answer a variety of questions related to behavior. In the case of animal behavior, these efforts have largely been in the field of behavioral ecology. They have proved to be a useful tool... Read More about Using robots to understand animal social cognition.

A recurrent neural network for sound-source motion tracking and prediction
Presentation / Conference Contribution
Murray, J. C., Erwin, H., & Wermter, S. (2004, July). A recurrent neural network for sound-source motion tracking and prediction. Presented at Proceedings of the International Joint Conference on Neural Networks, Montreal, Que., Canada

Recurrent neural networks (RNN) have been used in many applications for both pattern detection and prediction. This paper shows the use of RNN's as a speed classifier and predictor for a robotic sound source tracking system. The system requires exten... Read More about A recurrent neural network for sound-source motion tracking and prediction.