摘要
设计了以FPGA为主芯片对目标物体进行识别与跟踪的系统。采用MT9M011数字图像摄像头采集初始图像;利用基于模型匹配的Sobel边缘检测算法实现对目标物体的识别;运用基于边缘特征检测和基于区域特征检测相结合的跟踪算法实现对目标物体的稳定跟踪。测试结果表明,整个系统能够有效稳定地对目标物体实施跟踪。
We designed a system that using FPGA as main chip for identifying and trank- ing object. The MT9M011 digital image camera acquisition initial image, based on model of matching Sobel edge detection algorithm for identification of the object, use based on edge detection based on regional characteristics and feature detection combination of tracking algorithm for the stability of the target object tracking. The test results show that the system can be effective to target object stable tracking.
出处
《青岛科技大学学报(自然科学版)》
CAS
北大核心
2013年第2期199-202,206,共5页
Journal of Qingdao University of Science and Technology:Natural Science Edition