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- W2897572075 abstract "Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-time performance when applied in the real scenario. In order to improve the tracking speed and reduce the overall power consumption of visual tracking, this paper proposes a real-time visual tracking algorithm based on DSST(Discriminative Scale Space Tracking) approach. We implement a hardware system on Xilinx XC7K325T FPGA platform based on our proposed visual tracking algorithm. Our hardware system can run at more than 153 frames per second. In order to reduce the resource occupation, our system adopts the batch processing method in the feature extraction module. In the filter processing module, the FFT IP core is time-division multiplexed. Therefore, our hardware system utilizes LUTs and storage blocks of 33% and 40%, respectively. Test results show that the proposed visual tracking hardware system has excellent performance." @default.
- W2897572075 created "2018-10-26" @default.
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- W2897572075 date "2018-10-12" @default.
- W2897572075 modified "2023-09-26" @default.
- W2897572075 title "FPGA-based Acceleration System for Visual Tracking" @default.
- W2897572075 cites W818325216 @default.
- W2897572075 doi "https://doi.org/10.48550/arxiv.1810.05367" @default.
- W2897572075 hasPublicationYear "2018" @default.
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