系统仿真学报 ›› 2018, Vol. 30 ›› Issue (12): 4738-4746.doi: 10.16182/j.issn1004731x.joss.201812031

• 仿真应用工程 • 上一篇    下一篇

基于多传感器的警犬姿态实时重建与仿真

祝朝政1, 何明1,2,*, 杨晟3,4, 杨铖1, 宋珍华5   

  1. 1. 中国人民解放军陆军工程大学 指挥控制工程学院, 江苏南京 211117;
    2. 军事科学院系统工程网络信息研究所,北京 100071;
    3. 河海大学计算机与信息学院,南京 211100;
    4. 南京荟英电子科技有限公司, 南京 211100;
    5. 公安部南京警犬研究所,南京 210012
  • 收稿日期:2018-04-10 修回日期:2018-05-23 出版日期:2018-12-10 发布日期:2019-01-03
  • 通讯作者: 何明(1978-),男,新疆石河子,博士,教授,研究方向为大数据,人工智能。
  • 作者简介:祝朝政(1995-),男,河南信阳,硕士生,研究方向为机器视觉,嵌入式系统。
  • 基金资助:
    国家重点研发计划(2016YFC0800310)

Real-time Reconstruction and Simulation of Police Dog Posture Based on Multi-sensor Data Vest

Zhu Chaozheng1, He Ming1,2,*, Yang Sheng3,4, Yang Cheng1, Song Zhenhua5   

  1. 1. College of Command Control Engineer, Army Engineering University, Nanjing 211117, China;
    2. Institute of Network Information, Academy of Systems Engineering, Academy of Military Sciences, Beijing 100071, China;
    3. College of Information and Computer, HoHai University, Nanjing 211110, China;
    4. Nanjing Huiying Electronics Technology Corporation, Nanjing 211100, China;
    5. Nanjing Police Dog Research Institute, Ministry of Public Security, Nanjing 210012, China
  • Received:2018-04-10 Revised:2018-05-23 Online:2018-12-10 Published:2019-01-03

摘要: 实时警犬姿态重建能为警方带犬执勤提供了一种智能、便捷、超视距的交互方式。针对警犬的生物运动特性,设计实现了全新的多传感器警犬数据背心;基于多个体积小、功耗低传感器,构建了新的警犬运动姿态融合方法,可以捕获警犬的不同姿态数据,包括站姿、坐姿、卧姿等;针对警犬频繁抖动问题,提出了基于多传感器数据背心的警犬姿态重建方法,引入一种改进的核函数ELM (Extreme Learning Machines)算法,求解最优重建姿态结果。通过分析和对比实验仿真,表明本方法能够实时重建出真实可信的警犬姿态。

关键词: 姿态重建, 运动捕获, 警犬, 基于核函数的ELM算法

Abstract: Real-time police dog posture reconstruction provides an intelligent, convenient and over-the-horizon interactive way for police on duty with dogs. For the biological movement characteristics of police dogs, a new multi-sensor dog data vest was designed and implemented. Based on multiple small size and low power consumption sensors, a new police dog motion fusion method was proposed to capture the different posture data of police dogs, including standing, sitting and prone position, etc. For frequent jitter of police dogs, this paper proposed a method of dog posture reconstruction based on multi-sensor data vest, and introduced an improved kernel function ELM algorithm to solve the optimal reconstruction posture results. The analysis and comparison of experimental simulation show that this method can reconstruct the real and credible police dog posture in real time.

Key words: posture reconstruction, motion capture, police dog, the ELM algorithm based on kernel function

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