Novelty Analysis in Dynamic Scene for Autonomous Mental Development
We propose a new biologically motivated novelty analysis model that can give robust performance for natural scenes with affine transformed field of view as well as noisy scenes in dynamic visual environment, which can play important role for an autonomous mental development. The proposed model based on biological visual pathway uses a topology matching method of a visual scan path obtained from a low level top-down attention model in conjunction with a bottom-up saliency map model in order to detect a novelty in an input scene. In addition, the energy signature for the corresponding visual scan path is also considered to decide whether a novelty is occurred in an input scene or not. The computer experimental results show that the proposed model successfully indicates a novelty for natural color input scenes in dynamic visual environment.
KeywordsLateral Geniculate Nucleus Attention Model Dynamic Scene Novelty Detection Fuzzy ARTMAP
Unable to display preview. Download preview PDF.
- 1.Guyton, A.C.: Textbook of medical physiology, 8th edn. W.B. Saunders Co., USA (1991)Google Scholar
- 6.Ban, S.W., Niitsuma, H., Lee, M.: Biologically inspired autonomous mental development model based on visual selective attention mechanism. In: Working Notes: Developmental Robotics AAAI 2005 Spring Symposium, pp. 99–105 (2005)Google Scholar