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A computer vision approach to classification of birds in flight from video sequences (2015)
Conference Proceeding
Atanbori, J., Duan, W., Murray, J., Appiah, K., & Dickinson, P. (2015). A computer vision approach to classification of birds in flight from video sequences. In Proceedings of the Machine Vision of Animals and their Behaviour (MVAB) (3.1-3.9). https://doi.org/10.5244/c.29.mvab.3

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.

A recurrent neural network for sound-source motion tracking and prediction (2005)
Conference Proceeding
Murray, J. C., Erwin, H., & Wermter, S. (2005). A recurrent neural network for sound-source motion tracking and prediction. In Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005 (2232-2236). https://doi.org/10.1109/IJCNN.2005.1556248

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.