New Compound Method for Target Recognition and Tracking

Kang Sun

doi:10.4028/www.scientific.net/AMM.273.790

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 273New Compound Method for Target Recognition and...

New Compound Method for Target Recognition and Tracking

Abstract:

In this paper, we propose compound target detection and tracking method that combines Bayesian local features classification and global template tracking. During target initialization phase, we convert local features recognition problem into Semi-Naive Bayesian classification theory to avoid computing and matching complex high-dimension descriptor. During tracking, detector hands over tracking task to the template tracker, which imposes temporal continuity constraints across on-line frames in order to increase the robustness and efficiency of the results. In typical application scenarios, once the tracker loses target, it requires the detector for reinitialization. Experiment results confirm the efficiency of our approach at last.

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Periodical:

Applied Mechanics and Materials (Volume 273)

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790-795

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.273.790

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Online since:

January 2013

Authors:

Kang Sun

Keywords:

Classification, Local Feature, Recognition, Tracking

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