The Target Tracking Algorithm Research of Independent Vision Robot Fish

Ming Zhang; Li Wang; Hai Hua Shi; Wei Xiang

doi:10.4028/www.scientific.net/AMR.753-755.2015

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 753-755The Target Tracking Algorithm Research of...

The Target Tracking Algorithm Research of Independent Vision Robot Fish

Abstract:

In the independent vision robot fish games, the interference of water wave often causes tracking inaccuracy and target tracking failure. In order to solve these problems, the Meanshift algorithm and the combination of Meanshift algorithm and Kalman filter respectively are studied to realize target tracking of independent vision robot fish in this paper. By comparing the two algorithms, the results show that: the former tracking algorithm is not ideal and easy to lose the target. The combined algorithm of Meanshift and Kalman filter can effectively improve the performance of single-target tracking in a complex environment to achieve the goal of continuous accurate tracking.

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Periodical:

Advanced Materials Research (Volumes 753-755)

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2015-2019

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https://doi.org/10.4028/www.scientific.net/AMR.753-755.2015

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August 2013

Authors:

Ming Zhang, Li Wang, Hai Hua Shi, Wei Xiang

Keywords:

Kalman Filter (KF), Meanshift Algorithm, Target Tracking

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