Abstract
A method of target tracking based on fractional Fourier transform is proposed by using the time–frequency information of target image, in order to improve the accurate performance of target recognition and tracking. Firstly, removing the Gaussian noise from target image using the repeated fractional Fourier domain filtering algorithm. And then the edge of target image is extracted making use of the continuity of FRFT. Finally, calculating the Hausdorff matched distance between the point set of edge of the target template and the region which is going to be matched, and making the target be searched and locked stably to complete the tracking of moving targets. The simulation results show that, under the precondition of real-time, the method which based on FRFT tracking have more precision on the track of the target than kalman filtering tracking and mean-shift tracking.
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Sun, Y., Wang, B., Zhang, Y. (2012). A Method of Detection and Tracking for Laser Spot. In: Hou, Z. (eds) Measuring Technology and Mechatronics Automation in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 135. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2185-6_6
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DOI: https://doi.org/10.1007/978-1-4614-2185-6_6
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