Abstract
A method based on visual perception mechanism is proposed for solving the problem of target tracking. The tracking of target can be achieved in stability. In this paper, the algorithm use neural responses as the visual features. Firstly, the receptive field of cells in primary visual cortex is obtained from natural images. Then the neurons response of background image and video image sequences can be received and calculated the difference, and the difference is compared with dynamic threshold, the target can be detected in this way. Finally, the target tracking can be realized by iterative. Many categories experiment results show that this method improve accuracy and robustness of the tracking algorithm in condition of time-real.
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Acknowledgments
The work for this paper was financially supported by the National Natural Science Foundation of China (NSFC, Grant No: 60841004, 60971110, and 61172152).
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Lu, P., Huang, S., Liu, C., Yuan, D., Lou, Y. (2013). Target Tracking Algorithm Based on Visual Perception Mechanism. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38466-0_4
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DOI: https://doi.org/10.1007/978-3-642-38466-0_4
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