고속 영역기반 컨볼루션 신경망을 이용한 개별 돼지의 탐지Individual Pig Detection using Fast Region-based Convolution Neural Network
- Other Titles
- Individual Pig Detection using Fast Region-based Convolution Neural Network
- Authors
- 최장민; 이종욱; 정용화; 박대희
- Issue Date
- 2017
- Publisher
- 한국멀티미디어학회
- Keywords
- Individual Pig Detection; Convolution Neural Network; Monitoring System
- Citation
- 멀티미디어학회논문지, v.20, no.2, pp.216 - 224
- Indexed
- KCI
- Journal Title
- 멀티미디어학회논문지
- Volume
- 20
- Number
- 2
- Start Page
- 216
- End Page
- 224
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/85534
- DOI
- 10.9717/kmms.2017.20.2.216
- ISSN
- 1229-7771
- Abstract
- Abnormal situation caused by aggressive behavior of pigs adversely affects the growth of pigs, and comes with an economic loss in intensive pigsties. Therefore, IT-based video surveillance system is needed to monitor the abnormal situations in pigsty continuously in order to minimize the economic demage. Recently, some advances have been made in pig monitoring; however, detecting each pig is still challenging problem. In this paper, we propose a new color image-based monitoring system for the detection of the individual pig using a fast region-based convolution neural network with consideration of detecting touching pigs in a crowed pigsty. The experimental results with the color images obtained from a pig farm located in Sejong city illustrate the efficiency of the proposed method.
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Collections - College of Science and Technology > Department of Computer Convergence Software > 1. Journal Articles
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