Object detection for ochotona curzoniae based on semantic segmentation

doi:10.13245/j.hust.200702

	Object detection for ochotona curzoniae based on semantic segmentation
	Chen, Haiyan; Chen, Gangqi
刊名	Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
	2020-07-23
卷号	48 期号:7 页码:7-12
关键词	Median filters Object detection Object recognition Semantics Connected domains Detection accuracy Interest regions Ochotona curzoniae Region of interest Semantic segmentation Size and position Small target detection
ISSN号	16714512
DOI	10.13245/j.hust.200702
英文摘要	Aiming at the low precision of small target detection caused by background noise introduced by the anchor box in the regional proposal network, a method of generating interest regions was proposed based on semantic segmentation model.This method firstly transformed the search problem of the region of interest into the binary semantic segmentation problem of foreground and background.Then, the semantic segmentation directly obtained the foreground, by which the size and position of the region of interest were obtained through median filtering and connected domain analysis.This method avoided using anchor boxes to create region of interest, while reducing the impact of background noise on target detection.Experiments on the target detection of ochotona curzoniae in natural scenes show that the F1 value of the proposed method based on semantic segmentation is higher than that of the regional suggestion network by 27.75%, and the detection accuracy is higher. © 2020, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
语种	中文
出版者	Huazhong University of Science and Technology
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115194]
专题	计算机与通信学院
作者单位	Department of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Chen, Haiyan,Chen, Gangqi. Object detection for ochotona curzoniae based on semantic segmentation[J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),2020,48(7):7-12.
APA	Chen, Haiyan,&Chen, Gangqi.(2020).Object detection for ochotona curzoniae based on semantic segmentation.Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),48(7),7-12.
MLA	Chen, Haiyan,et al."Object detection for ochotona curzoniae based on semantic segmentation".Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 48.7(2020):7-12.