Individual Pig Detection Using Kinect Depth Information


KIPS Transactions on Computer and Communication Systems, Vol. 5, No. 10, pp. 319-326, Oct. 2016
10.3745/KTCCS.2016.5.10.319,   PDF Download:
Keywords: Individual Pig Detection, Touching Problem, Kinect Camera, Monitoring System
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. In this paper, we propose a new Kinect camera-based monitoring system for the detection of the individual pigs. The proposed system is characterized as follows. 1) The background subtraction method and depth-threshold are used to detect only standing-pigs in the Kinect-depth image. 2) The moving-pigs are labeled as regions of interest. 3) A contour method is proposed and applied to solve the touching-pigs problem in the Kinect-depth image. The experimental results with the depth videos obtained from a pig farm located in Sejong illustrate the efficiency of the proposed method.


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Cite this article
[IEEE Style]
J. Choi, J. Lee, Y. Chung, D. Park, "Individual Pig Detection Using Kinect Depth Information," KIPS Transactions on Computer and Communication Systems, vol. 5, no. 10, pp. 319-326, 2016. DOI: 10.3745/KTCCS.2016.5.10.319.

[ACM Style]
Jangmin Choi, Jonguk Lee, Yongwha Chung, and Daihee Park. 2016. Individual Pig Detection Using Kinect Depth Information. KIPS Transactions on Computer and Communication Systems, 5, 10, (2016), 319-326. DOI: 10.3745/KTCCS.2016.5.10.319.