Design of a real-time system of moving ship tracking on-board based on FPGA in remote sensing images

Tie-jun Yang; Shen Zhang; Guo-qing Zhou; Chuan-xian Jiang

doi:10.1117/12.2206186

9 December 2015 Design of a real-time system of moving ship tracking on-board based on FPGA in remote sensing images

Tie-jun Yang, Shen Zhang, Guo-qing Zhou, Chuan-xian Jiang

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 980804 (2015) https://doi.org/10.1117/12.2206186
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

With the broad attention of countries in the areas of sea transportation and trade safety, the requirements of efficiency and accuracy of moving ship tracking are becoming higher. Therefore, a systematic design of moving ship tracking onboard based on FPGA is proposed, which uses the Adaptive Inter Frame Difference (AIFD) method to track a ship with different speed. For the Frame Difference method (FD) is simple but the amount of computation is very large, it is suitable for the use of FPGA to implement in parallel. But Frame Intervals (FIs) of the traditional FD method are fixed, and in remote sensing images, a ship looks very small (depicted by only dozens of pixels) and moves slowly. By applying invariant FIs, the accuracy of FD for moving ship tracking is not satisfactory and the calculation is highly redundant. So we use the adaptation of FD based on adaptive extraction of key frames for moving ship tracking. A FPGA development board of Xilinx Kintex-7 series is used for simulation. The experiments show that compared with the traditional FD method, the proposed one can achieve higher accuracy of moving ship tracking, and can meet the requirement of real-time tracking in high image resolution.

Citation Download Citation

Tie-jun Yang, Shen Zhang, Guo-qing Zhou, and Chuan-xian Jiang "Design of a real-time system of moving ship tracking on-board based on FPGA in remote sensing images", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980804 (9 December 2015); https://doi.org/10.1117/12.2206186

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