红外偏振摄像机动目标检测跟踪系统（特邀）

基于红外偏振摄像的机动目标检测跟踪系统对实时性要求较高，而且在野外场景下需要具备低功耗的特点。FPGA具有并行计算的特性，能够极大的提高系统吞吐量和处理数据速度，能够满足实时性的要求，因此一种基于FPGA的目标检测跟踪系统被设计出来并得以实现。在硬件开发平台上采用模块化以及软硬件协同设计的方式，将具有不同计算特点的任务分别在PS端（ARM）以及PL端（FPGA）实现，其中PL部分负责部分算法的加速、FPGA和ARM处理器之间数据传输以及HDMI等接口逻辑控制等，PS部分负责实现较为复杂的检测跟踪算法，以及负责控制FPGA端的各个模块。最后，对目标检测跟踪系统进行实验测试和分析，给出系统的硬件资源消耗及功耗，结果表明该目标检测跟踪系统能够满足实时性的要求，并且具备低功耗的特点。

Maneuvering object detection and tracking system based on infrared polarization imaging (Invited)

The infrared polarization object tracking under dynamic scenes has a demand for real-time performance and low power consumption. FPGA has the characteristics of parallel computing, which can greatly improve the system throughput and data processing speed, and can meet the requirements of real-time. Therefore, a target detection and tracking system based on FPGA was designed and implemented. On the hardware development platform, the methods of modularization and software and hardware collaborative design were adopted to realize the tasks with different computing characteristics in PS (ARM) and PL (FPGA). PL was responsible for the acceleration of some algorithms, data transmission between FPGA and ARM processors, HDMI and other interface logic control. PS was responsible for the implementation of more complex detection and tracking algorithms, and controlled each module in FPGA. Finally, the target detection and tracking system was tested and analyzed, and the hardware resource consumption and power consumption of the system were also given in the experiment. The results showed that the purposed target detection and tracking system can meet the requirements of real-time and low power consumption..