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A HYBRID AUTONOMOUS VISUAL TRACKING ALGORITHM FOR MICRO AERIAL VEHICLES

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 8)

Publication Date:

Authors : ; ; ; ;

Page : 524-535

Keywords : Cam Shift Algorithm; Extended Kalman Filter Estimator; G imballed Camera Control Law; Ground Moving Target State Estimator; Hybrid Autonomous Visual Tracking Algorithm; Micro Aerial Vehicle Guidance Law .;

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Abstract

An efficient image tracking algorithm plays a major role in an autonomous surveillance and monitoring the environment from micro aerial vehicle. A hybrid autonomous visual tracking algorithm is proposed based on cam - shift and extended kalman filter estimat or for micro aerial vehicle. The proposed algorithm identifies and tracks the ground moving target continuously , even ground moving target moves quickly , and the color of the other ground moving target or background similar to that of the ground moving tar get. A MATLAB based simulation tool is developed for determining the proposed algorithm performance. The results exhibit that the proposed algorithm tracks the ground moving target very accurately

Last modified: 2016-08-17 19:57:54