[1]陶源栋,沈明霞,刘龙申,等.基于Kinect的母猪呼吸频率测定算法[J].南京农业大学学报,2017,40(5):921-927.[doi:10.7685/jnau.201701032]
 TAO Yuandong,SHEN Mingxia,LIU Longshen,et al.Study on measurement algorithm of sow respiratory frequency based on Kinect[J].Journal of Nanjing Agricultural University,2017,40(5):921-927.[doi:10.7685/jnau.201701032]
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基于Kinect的母猪呼吸频率测定算法()
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《南京农业大学学报》[ISSN:1000-2030/CN:32-1148/S]

卷:
40卷
期数:
2017年5期
页码:
921-927
栏目:
OA栏目
出版日期:
2017-09-20

文章信息/Info

Title:
Study on measurement algorithm of sow respiratory frequency based on Kinect
作者:
陶源栋 沈明霞 刘龙申 陆明洲 许佩全 施宏
南京农业大学工学院/江苏省智能化农业装备重点实验室, 江苏 南京 210031
Author(s):
TAO Yuandong SHEN Mingxia LIU Longshen LU Mingzhou XU Peiquan SHI Hong
College of Engineering/Jiangsu Key Laboratory for Intelligent Agricultural Equipment, Nanjing Agricultural University, Nanjing 210031, China
关键词:
Kinect母猪呼吸频率动态区域检测算法DBSCAN密度聚类算法离散傅里叶变换
Keywords:
Kinectsowrespiratory frequencydynamic region detection algorithmDBSCAN density clustering algorithmdiscrete Fourier transform
分类号:
S126
DOI:
10.7685/jnau.201701032
摘要:
[目的]呼吸频率是评价母猪健康的重要指标。针对目前畜牧业对母猪呼吸频率无接触测定的需求,提出一种基于Kinect的无接触测量算法。[方法]使用Kinect采集梅山母猪侧卧时的深度图像。通过动态区域检测算法确定腹部区域,采用DBSCAN密度聚类算法得到腹部区域质心进行局部深度图像提取。最后基于腹部区域局部深度图像的深度均值,使用离散傅里叶变换得到深度-时间拟合曲线,通过极值点确定1次呼吸过程的周期进而求出监测时间段内母猪的呼吸频次,最后转化成母猪的呼吸频率(RF)。[结果]将检测结果与人工计数结果做比较,呼吸频率正确率为85.3%,该呼吸频率测定算法是有效的。[结论]提出了一种呼吸频率测定方法,该方法实现无接触测量,准确率高,为定位饲养条件下的梅山母猪呼吸频率的测定提供了理论支撑。
Abstract:
[Objectives]Respiratory frequency is an important health condition indicator in sows. According to the breeding industry,there is a need for non-contact methods of determining sow’s respiratory rate. This study introduces a novel non-contact method to estimate respiration frequency algorithm based on Kinect.[Methods]Kinect was used to collect Meishan sow abdomen depth images at the time of side lying. Dynamic region detection algorithm determines the abdomen region,then the centroid of the abdomen was obtained by DBSCAN density clustering algorithm to extract the local depth image. Finally,after obtention,the Depth-time fitting curve by the discrete Fourier transform based on average depths of depths image of abdomen region was used to calculate the respiratory frequency of sow during the monitoring period through cycle calculated by the distance of extreme points.[Results]Compared to the manual counting,the correct rate of the respiratory rate calculated by proposed algorithm was 85.3%. Thus,the respiratory rate measurement algorithm worked efficiently.[Conclusions]A highly accurate respiratory frequency measurement method that can provide academic support for Meishan sow during feeding condition is proposed.

参考文献/References:

[1] 徐亚妮,沈明霞,闫丽,等. 待产梅山母猪咳嗽声识别算法的研究[J]. 南京农业大学学报,2016,39(4):681-687. DOI:10.7685/jnau.201510035. Xu Y N,Shen M X,Yan L,et al. Research of predelivery Meishan sow cough recognition algorithm[J]. Journal of Nanjing Agricultural University,2016,39(4):681-687(in Chinese with English abstract).
[2] 刘龙申,沈明霞,姚文,等. 基于加速度传感器的母猪产前行为特征采集与分析[J]. 农业机械学报,2013,44(3):192-196. Liu L S,Shen M X,Yao W,et al. Acquisition and analysis of sows’ behavior before farrowing based on acceleration sensor[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(3):192-196(in Chinese with English abstract).
[3] 柏广宇,刘龙申,沈明霞,等. 基于无线传感器网络的母猪体温实时监测节点研制[J]. 南京农业大学学报,2014,37(5):128-134. DOI:10.7685/j.issn.1000-2030.2014.05.021. Bai G Y,Liu L S,Shen M X,et al. Design of sow body temperature monitoring node based on wireless sensor network[J]. Journal of Nanjing Agricultural University,2014,37(5):128-134(in Chinese with English abstract).
[4] 汤丽平,张健,任羽.基于无线传感器网络的咳嗽音检测系统研究[J]. 传感器与微系统,2011,30(12):25-27. Tang L P,Zhang J,Ren Y. Research on detection system of cough sound based on wireless sensor networks[J]. Transducer and Microsystem Technologies,2011,30(12):25-27(in Chinese with English abstract).
[5] 张弛,沈明霞,刘龙申,等. 基于机器视觉的新生仔猪目标识别方法研究与实现[J]. 南京农业大学学报,2017,40(1):169-175. DOI:10.7685/jnau.201602017. Zhang C,Shen M X,Liu L S,et al. Newborn piglets recognition method based on machine vision[J]. Journal of Nanjing Agricultural University,2017,40(1):169-175(in Chinese with English abstract).
[6] Chen Y F,Rapajic P. Human respiration rate estimation using ultra-wideb and distributed cognitive radar system[J]. International Journal of Automation and Computing,2008,5(4):325-333.
[7] Min S D,Kim J K,Shin H S,et al. Noncontact respiration rate measurement system using an ultrasonic proximity sensor[J]. IEEE Sensors Journal,2010,10(11):1732-1739.
[8] 高小强,刘洪英,朱兰,等. 基于霍尔传感器微阵列的呼吸频率检测系统设计[J]. 传感器与微系统,2013,32(5):121-123. Gao X Q,Liu H Y,Zhu L,et al. Design of respiratory frequency detecting system based on Hall sensor micro-array[J]. Transducer and Microsystem Technologies,2013,32(5):121-123(in Chinese with English abstract).
[9] 唐亮,朱伟兴,李新城,等. 基于面积特征算子的猪呼吸频率检测[J]. 信息技术,2015(2):73-77. Tang L,Zhu W X,Li X C,et al. Identification and detection of swine respiratory frequency based on area feature operator[J]. Information Technology,2015(2):73-77(in Chinese with English abstract).
[10] 荣秋生,颜君彪,郭国强.基于DBSCAN聚类算法的研究与实现[J]. 计算机应用,2004,24(4):45-46. Rong Q S,Yan J B,Guo G Q. Research and implementation of clustering algorithm based on DBSCAN[J]. Computer Applications,2004,24(4):45-46(in Chinese with English abstract).
[11] Mahesh Kumar K,Rama Mohan Reddy A.A fast DBSCAN clustering algorithm by accelerating neighbor searching using Groups method[J]. Pattern Recognition,2016,58:39-48.
[12] Mimaroglu S,Aksehirli E. Improving DBSCAN’s execution time by using a pruning technique on bit vectors[J]. Pattern Recognition Letters,2011,32(13):1572-1580.
[13] 王雅光.基于Hadoop平台的DBSCAN算法应用研究[D]. 广州:广东工业大学,2013:20-22. Wang Y G. Application and research of DBSCAN based on hadoop platform[D]. Guangzhou:Guangdong University of Technology,2013:20-22(in Chinese with English abstract).
[14] 唐冲,惠辉辉.基于Matlab的高斯曲线拟合求解[J]. 计算机与数学工程,2013,41(8):1262-1263. Tang C,Hui H H. Gaussian curve fitting solution based on Matlab[J]. Computer and Digital Engineering,2013,41(8):1262-1263(in Chinese with English abstract).
[15] 杨丽娟,张白桦,叶旭桢.快速傅里叶变换FFT及其应用[J]. 光电工程,2004,31(增刊):1-3 Yang L J,Zhang B H,Ye X Z. Fast Fourier transform and its applications[J]. Opto-Electronic Engineering,2004,31(suppl):1-3(in Chinese with English abstract).
[16] Mondal A,Banerjee P,Somkuwar A. Enhancement of lung sounds based on empirical mode decomposition and Fourier transform algorithm[J]. Computer Methods and Programs in Biomedicine,2017,139:119-136.

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备注/Memo

备注/Memo:
收稿日期:2017-01-17。
基金项目:国家重点研发计划项目(2017YFD0701600);江苏省农机三新工程项目(NJ2016-10);中央高校基本科研业务费专项资金(KYGX201704)
作者简介:陶源栋,硕士研究生。
通信作者:沈明霞,教授,博导,主要从事机器视觉与信息农业领域研究,E-mail:mingxia@njau.edu.cn
更新日期/Last Update: 2017-09-23