Object tracking under complicated background based on DSP+FPGA platform

Wei-ning, 刘伟宁 Liu

doi:10.3788/yjyxs20142906.1151

Cited by 2 publications

(2 citation statements)

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“…Moreover, the research community has designed some image processing systems using the limited hardware system resources that could implement the related target detection and tracking algorithms in the space-based scenario. A high-performance embedded processing platform based on a graphics processing unit (GPU), DSP, and FPGA has become the potential solution for onboard image processing [31][32][33][34]. As the specialized image processor, the embedded GPU processing platform [35] has been widely used in unmanned driving technology, AI computation, and video image processing.…”

Section: Related Workmentioning

confidence: 99%

Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance

Chen

Liu

et al. 2023

Remote Sensing

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Space-based target surveillance is important for aerospace safety. However, with the increasing complexity of the space environment, the stellar target and strong noise interference pose difficulties for space target detection. Simultaneously, it is hard to balance real-time processing with computational performance for the onboard processing platform owing to resource limitations. The heterogeneous multi-core architecture has corresponding processing capabilities, providing a hardware implementation platform with real-time and computational performance for space-based applications. This paper first developed a multi-stage joint detection and tracking model (MJDTM) for space targets in optical image sequences. This model combined an improved local contrast method and the Kalman filter to detect and track the potential targets and use differences in movement status to suppress the stellar targets. Then, a heterogeneous multi-core processing system based on a field-programmable gate array (FPGA) and digital signal processor (DSP) was established as the space-based image processing system. Finally, MJDTM was optimized and implemented on the above image processing system. The experiments conducted with simulated and actual image sequences examine the accuracy and efficiency of the MJDTM, which has a 95% detection probability while the false alarm rate is 10−4. According to the experimental results, the algorithm hardware implementation can detect targets in an image with 1024 × 1024 pixels in just 22.064 ms, which satisfies the real-time requirements of space-based surveillance.

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Section: Related Workmentioning

confidence: 99%

Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance

Chen

Liu

et al. 2023

Remote Sensing

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“…In [4] a solution of task assignment and complex data flow in a system implemented on a mixed DSP and FPGA hardware environment is proposed. Such solutions are possible as new generation of FPGA devices offer unprecedented processing and scalling capabilities:  Very large memory, up to one gigabyte of DDR3 (SDRAM) [8];…”

Section: Introductionmentioning

confidence: 99%

Zynq FPGA based and Optimized Design of Points of Interest Detection and Tracking in Moving Images for Mobility System

Amara¹,

Atri²,

Pissaloux³

et al. 2018

ijacsa

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In this paper, an FPGA based mobile feature detection and tracking solution is proposed for complex video processing systems. Presented algorithms include feature (corner) detection and robust memory allocation solution to track in real-time corners using the extended Kalman filter. Target implementation environment is a Xilinx Zynq SoC FPGA based. Using the HW/SW partitioning flexibility of Zynq, the ARM dual core processor performance and hardware accelerators generated by Xilinx SDSOC and Vivado HLS tools improve the system ability of processing video accurately with a high frame rate. Several original innovations allow to improve the processing time of the whole system (detection and tracking) by 50% as shown in experimental validation (tracking of visually impaired during their outdoor navigation).

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Object tracking under complicated background based on DSP+FPGA platform

Cited by 2 publications

References 0 publications

Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance

Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance

Zynq FPGA based and Optimized Design of Points of Interest Detection and Tracking in Moving Images for Mobility System

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