An automatic dead chicken detection algorithm based on SVM in modern chicken farm

摘要：

An automatic detection algonthm for aeaa birds based on support vector machine (SVM) is proposed. Firstly, according to the changes of central region of cockscomb in the picture, logic and operation is used to remove the image of live chickens; Secondly, in order to distinguish accurately the dead birds in processed picture, the perimeter, area, eccentricity and complexity of the cockscomb are extracted as the variables. The changes of these variables are defined as the feature vectors. The samples of the above feature vectors are used to train SVM classifier. During the training, the grid search method is used to optimize the kernel width and punishment factor of SVM and the classifier for dead bird is designed finally. The results of experiment show that the detection accuracy is over 90%.

关键词： modern chicken farm dead chicken detection automatic detection support vector machine (SVM)

作者: Weixing Zhu Yansong Peng Bin Ji

作者单位: School of Electrical and Information Engineering, Jiangsu University Zhenjiang Jiangsu 212003, China School of Electrical and Information Engineering, Jiangsu University Zhenjiang Jiangsu 212003,China

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 323-326

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）