Abstract
Aiming at the problems of poor real-time and reliability in Traditional monitoring system, we constructed a model according to the visual system information processing mechanism; a sudden-target search algorithm of monitor area was put forward. The algorithm firstly uses Topology Independent Component Analysis (TICA) to extract monitoring images topological features library, then stimulates the neurons respectively with the image contain sudden-target and the image not contain sudden-target, and finds out the corresponding features of strong response neurons from the features library. Matching out the response characteristics which caused by the emergence of a sudden-target through comparison. Based on the above idea, the sudden-target can be searched. The model is applied to the simulation experiments of monitoring images shows the effectiveness of the proposed algorithm.
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Lu, P., Liu, C., Yuan, D., Li, Y. (2012). Sudden-Target Search Algorithm of Monitor Area Based on Visual Information Processing Model. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_15
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DOI: https://doi.org/10.1007/978-3-642-31576-3_15
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