Adaptive Tracking Moving Targets Based on MACA Algorithm

Ju Bao Qu

doi:10.4028/www.scientific.net/AMR.211-212.1

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Adaptive Tracking Moving Targets Based on MACA Algorithm

Abstract:

Moving target tracking is widely used in various fields, but adaptive tracking algorithm is not ideal. Proposed a multi-mode adaptive CamShift algorithm (MACA). CamShift algorithm will be sensitive to the characteristics of H component extended to the S, V components, convex combination model is constructed using multi-objective programming optimal solution method for the best combination of solution adaptive color recognition, with the inclination to identify and target-based IIR filter state of motion information to predict tracking technology made color more complex target scene is rotated, block and rate of change can accurately track the results. The experiments show that the algorithm has good robustness and adaptive ability.

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Periodical:

Advanced Materials Research (Volumes 211-212)

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1-5

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.211-212.1

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Online since:

February 2011

Authors:

Ju Bao Qu

Keywords:

Adaptive, Camshift, MACA, Portfolio, Tracking

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