Dynamic Object Tracking Based on KAZE Features and Particle Filter

Ying Xia; Xin Hao Xu

doi:10.4028/www.scientific.net/AMM.556-562.2702

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Dynamic Object Tracking Based on KAZE Features and...

Dynamic Object Tracking Based on KAZE Features and Particle Filter

Abstract:

Accuracy and stability is crucial for dynamic object tracking. Considering the scale invariance, rotational invariance and strong anti-jamming capability of KAZE features, a method of dynamic object tracking based on KAZE features and particle filter is proposed. This method obtains the global color features of the dynamic object appearance and extracts its local KAZE features to construct the object model first, and then performs dynamic tracking by particle filter. Experimental results demonstrate the accuracy and stability of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2702-2706

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2702

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Online since:

May 2014

Authors:

Ying Xia*, Xin Hao Xu

Keywords:

Color Histogram, Feature Fusion, KAZE Features, Particle Filter

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