Perceiving and tracking moving objects. Processing and tracking moving objects poses challenges for human perception. To succeed, visual processing must accumulate analyses of the object from its different positions. Perceptual experiments will reveal human limits and yield insights into the underlying mechanisms, providing a basis for understanding object tracking in tasks like driving.
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.