Project DetailsThis work examines the feasibility of incorporating models based on insect vision systems for motion detection in computer vision.
In recent years, significant advancements have been made in both the research of visual processing in animal systems and in the field of artificial neural networks. Despite these advancements, and despite artificial neural networks already drawing inspiration from biology, there remains a disconnect between these two areas of research. Insects have the ability to quickly and accurately respond to visual input while in flight, using less hardware than comparable computing systems, making them a potential source of inspiration for computer vision systems. The study simulated computational models inspired by insect vision systems on digital videos and evaluated their impact on the performance of a neural network.
The results showed that while the insect-inspired models were successfully replicated, they did not lead to an improvement in the neural network's performance.
