Evolving Vision-Based Flying Robots
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
A bio-inspired obstacle avoidance system concept for visually impaired people
Proceedings of the 15th WSEAS international conference on Systems
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Many of the motion detectors are based on identifying and tracking spatial or temporal features. The main disadvantage of these circuits is the uncertain detection at low SNR conditions. In 1956 Hassenstein and Reichardt tried to explain the mechanism of the insect vision and proposed an alternative to motion detection with an intensity-based spatiotemporal correlation algorithm. Based on this type of algorithm we implemented an improved motion detector that not only detects a moving object but also gives some additional information such as the sense and direction from where the object is coming. This system is intended to be used as front-end processing for a more complex visual motion computation models, like the ones performed by insects such as flies or locusts.