半导体光电, 2017, 38 (6): 908, 网络出版: 2017-12-25   

一种基于STM32的目标实时跟踪系统研究

Design of 2D Target Tracking System Based on STM32
作者单位
1 中国计量大学 工程训练中心, 杭州 310018
2 上海交通大学 电子信息与电气工程学院, 上海 200240
摘要
为了解决现有目标跟踪系统难以小型化和跟踪速度慢的问题, 设计了一种以型号为STM32F103ZET6的32位ARM处理器为主控芯片的二维运动目标跟踪系统。系统包括搭载了高清网络摄像机的二维跟踪云台和以STM32为核心的超声电机双路驱动器。系统通过上位机图像处理识别目标, 控制下位机超声电机双路驱动器驱动二维云台跟踪目标。实验结果表明, 该系统响应速度快、结构简单且跟踪精度高, 云台可实现水平方向0°~360°、竖直方向0°~180°旋转。
Abstract
Common target tracking systems usually present such problems as big volume and low tracking speed, based on which, a two-dimensional moving target tracking system using 32-bit ARM processor of STM32F103ZET6 as the main control chip is designed. The system is mainly composed of double ultrasonic motor driving circuit based on STM32 and 2D tracking pan-tilt with IP camera. When the target is identified by image processing system, the 2D tracking pan-tilt is drived to track the target. Experimental results show that the system can response in less than 3 ms with a high accuracy, and the pan-tilt can rotate in 0°~360° in horizontal direction and 0°~180° in vertical direction.
参考文献

[1] 竺春祥, 鹿存跃, 杨 明, 等. 机载光学定位测量跟踪器研究[J]. 电子设计工程, 2014, 20(22): 17-19.

    Zhu Chunxiang, Lu Cunyue, Yang Ming, et al. Research on airborne optical positioning and measurement tracker[J]. Electronic Design Engin., 2014, 20(22): 17-19.

[2] Yilmaz A, Javed O, Shah M. Object tracking: a survey[J]. ACM Computing Surveys, 2006, 38(4): 13.

[3] Tsalatsanis A, Valavanis K, Yalcin A. Vision based target tracking and collision avoidance for mobile robots[J]. J. Intelligent & Robotic Systems, 2007, 48(2): 285-304.

[4] Xiao G, Yun X, Wu J M. A multi-cue mean-shift target tracking approach based on fuzzified region dynamic image fusion[J]. Science China, 2012, 55(3): 577-589.

[5] Zhu Qing, Liu Hongli, Chen Bingquan, et al. An improved method for multiple targets tracking[J]. J. Central South University, 2012, 19(10): 2852-2859.

[6] Zdenel K, Krystain M, Jiri M. Tracking-learning-detection[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2010: 1-14.

[7] Breiman L. Random forests[J]. Machine Learning, 2001, 45(1): 5-32.

[8] Kalal Z, Mikolajczyk K, Matas J. Face-TLD: Tracking-learning-detection applied to faces[C]// IEEE Inter. Conf. on Image Processing, 2010: 3789-3792.

[9] 贾丹平, 桂 珺. STM32F103x微控制器与μC/OS-Ⅱ操作系统[M]. 北京: 电子工业出版社, 2017: 15-25.

    Jia Danping, Gui Jun. STM32F103x Microcontroller and μC/OS-Ⅱ Operating System[M]. Beijing: Electronic Industry Press, 2017: 15-25.

[10] 包加桐, 宋爱国, 唐鸿儒, 等. 基于视觉目标跟踪的侦察机器人导航方法[J]. 东南大学学报(自然科学版), 2012, 42(3): 399-405.

    Bao Jiatong, Song Aiguo, Tang Hongru, et al. Navigation method for reconnaissance robot based on vision object tracking[J]. J. Southeast University(Natural Science Edition), 2012, 42(3): 399-405.

竺春祥, 鹿存跃. 一种基于STM32的目标实时跟踪系统研究[J]. 半导体光电, 2017, 38(6): 908. ZHU Chunxiang, LU Cunyue. Design of 2D Target Tracking System Based on STM32[J]. Semiconductor Optoelectronics, 2017, 38(6): 908.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!