刘龙申,沈明霞,柏广宇,周 波,陆明洲,杨晓静.基于机器视觉的母猪分娩检测方法研究[J].农业机械学报,2014,45(3):237-242.
Liu Longshen,Shen Mingxia,Bo Guangyu,Zhou Bo,Lu Mingzhou,Yang Xiaojing.Sows Parturition Detection Method Based on Machine Vision[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(3):237-242.
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基于机器视觉的母猪分娩检测方法研究   [下载全文]
Sows Parturition Detection Method Based on Machine Vision   [Download Pdf][in English]
投稿时间:2013-03-14  
DOI:10.6041/j.issn.1000-1298.2014.03.039
中文关键词:  母猪分娩 机器视觉 半圆匹配 运动目标检测
基金项目:公益性行业(农业)科研专项经费资助项目(201003011)和南京农业大学青年科技基金资助项目(KJ2011021)
作者单位
刘龙申 南京农业大学 
沈明霞 南京农业大学 
柏广宇 南京农业大学 
周 波 南京农业大学 
陆明洲 南京农业大学 
杨晓静 南京农业大学 
中文摘要:检测母猪分娩需对分娩限位栏内的仔猪进行目标识别,分析了母猪分娩视频图像特征,提出首先利用半圆匹配算法进行母猪目标分割,排除母猪运动干扰,基于改进的单高斯模型的背景减除法进行运动目标检测,根据运动区域的颜色和面积特征,对仔猪进行目标识别。试验表明:基于半圆匹配算法的母猪目标识别方法能够有效分割出母猪目标,基于改进单高斯模型的运动目标检测方法,对面积较大、运动缓慢的仔猪目标检测较为完整,适用于母猪分娩检测场景。
Liu Longshen  Shen Mingxia  Bo Guangyu  Zhou Bo  Lu Mingzhou  Yang Xiaojing
Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University
Key Words:Sows parturition Machine vision Matching by semi circle Moving objects detection
Abstract:Automation and industrialization is the trend of pig industry. Real time detection of parturition is one of the key technologies of sow automation farming. Video image features of sows parturition were analyzed to detect sows parturition by recognizing piglet. The moving objects were detected based on the improved single Gaussian model. Disturbance of sow moving was removed by the arithmetic of matching semi circle. According to the color and size characteristics of newborn piglets, targets were recognized. Test results showed that the sow object could be recognized effectively by the proposed approach. The moving objects detection method based on the improved single Gaussian model detected the slow moving piglet completely after eliminate interference.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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