Abstract
To study the video sequences in the complex background, an improved tracking algorithm of moving target is proposed that combining Camshift algorithm and Kalman filter. Use a Kalman filter to predict the target position in the next frame and the Camshift algorithm to find its actual position based on the color characteristics in the prediction area. In addition, other methods are mixed to deal with the color interference and cover problem. The experimental results denote that the improved algorithm completes a real-time and accurate target tracking in the complex dynamic background.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, Q., Li, B. (2011). Research on Tracking Algorithm of Moving Target in Complex Background. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_55
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DOI: https://doi.org/10.1007/978-3-642-23887-1_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23886-4
Online ISBN: 978-3-642-23887-1
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