| Title |
Livestock Anti-theft System Using Morphological Feature-based Model |
| Authors |
김준형(Jun Hyoung Kim) ; 주영훈(Yung Hoon Joo) |
| DOI |
http://doi.org/10.5370/KIEE.2018.67.4.578 |
| Keywords |
Moving object classification ; Feature based model ; Theft judgment system ; Gaussian mixture model ; Convex hull ; Bayesian ; Kalman filter |
| Abstract |
In this paper, we propose a classification and theft detection system for human and livestock for various moving objects in a barn. To do this, first, we extract the moving objects using the GMM method. Second, the noise generated when extracting the moving object is removed, and the moving object is recognized through the labeling method. And we propose a method to classify human and livestock using model formation and color for the unique form of the detected moving object. In addition, we propose a method of tracking and overlapping the classified moving objects using Kalman filter. Through this overlap determination method, an event notifying a dangerous situation is generated and a theft determination system is constructed. Finally, we demonstrate the feasibility and applicability of the proposed system through several experiments. |