视频图像中动态目标检测系统的FPGA硬件设计

为解决传统视频图像数据处理时，通常以软件为基础，存在工作量大、存储时间长的问题，提出了基于FPGA硬件结构处理的设计，提高系统的处理速度和实时性.针对图像处理问题，采用背景差分法检测运动目标，通过二值化方法剔除图像中的静止场景，然后再做形态滤波，消除空洞和噪声点，最后提取出目标中心点，达到检测运动目标的目的.同时加入sobel边缘检测模块，扩展运动目标检测体系结构，在检测目标时，系统能够根据物体的形状以及它的运动路径，来识别对象并对其检测结果进行分类.此外，对一些特定环境，设置适当禁区，当目标中心点进入禁区时，做出相应判断.硬件设计和Verilog HDL程序编写完成后，在Modelsim中做仿真验证，可以得到正确的目标检测结果.

FPGA Hardware Design of Dynamic Target Detection System in Video Image

Traditional video image data processing usually requires software, but there are some problems, such as heavy workload and long storage time. To solve this problem, this paper proposes a hardware process configuration based on FPGA, to improve the processing speed of the system and real-time. For the image processing problems, it uses the background subtraction to detect moving targets and remove the static scenes from images by Binarization, then does morphological filtering to eliminate voids and noise points, finally, extracts the target center to achieve the purpose of detecting moving targets. It joins sobel edge detection module at the same time, extends moving target detection architecture. According to the shape of the object and its path of movement, system can identify objects and categorize their test results when detects the target. In addition, for some specific environment, it sets the appropriate restricted area, when the center of the target is into the restricted area, makes the appropriate judgment. After the hardware design and Verilog HDL program is completed, doing simulation in Modelsim can get the right target detection results.