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| An Object Tracking Algorithm Based on Global SURF Feature |
| Rui Li, Changxu Liu, Fuzhong Nian |
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Abstract Aiming at the problem of the object tracking algorithm based on a
single feature which can't track the object in the complex cases
accurately, this paper proposes an object tracking algorithm based
on global SURF feature. Because the color feature is invariant to
rotating and deformation, SURF feature has a good robustness to
illumination change, a certain degree of angle change, it fuses the
two features to from a new feature called global SURF feature. Then,
it creates the object model based on global SURF feature, combines
with particle filter algorithm and updates the object template and
feature points dynamically in the process of tracking. Finally, it
realizes the accurate tracking for the object. The experimental
results in different settings show that it has a good real-time and
high robustness which fits for the object tracking in the complex
cases.
DOI: 10.12733/jics20101694
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