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: 2016-08-30
Authors : K. Narsimlu; T. V. Rajini Kanth; Devendra Rao Guntupalli; Anil Kuvvarapu;
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 .;
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
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Last modified: 2016-08-17 19:57:54