Visual system based on artificial retina for motion detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A dynamic attention system that reorients to unexpected motion in real-world traffic environments
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A biologically-inspired vision architecture for resource-constrained intelligent vehicles
Computer Vision and Image Understanding
Template matching for large transformations
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Layered motion segmentation with a competitive recurrent network
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
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Velocity distributions are an enhanced representation of image velocity containing more velocity information than velocity vectors. In particular, non-Gaussian velocity distributions allow for the representation of ambiguous motion information caused by the aperture problem or multiple motions at motion boundaries. To resolve motion ambiguities, discrete non-Gaussian velocity distributions are suggested, which are integrated over space, time, and scales using a joint Bayesian prediction and refinement approach. This leads to a hierarchical velocity-distribution representation from which robust velocity estimates for both slow and high speeds as well as statistical confidence measures rating the velocity estimates can be computed.