Table 3. Overview of techniques and algorithms used for identifying and tracking pig diseases with RGB imaging

Camera type	Detection type	Method / algorithm	Accuracy	Reference
DH-SD1A203T-GN	Diseases, tracking	Object detector+ time-varying features	92.0	[68]
-		Enhanced moving object detection	-	[66]
-		Concave-Convex recognition technique	93.9	[67]
-		Gaussian mixture model (GMM)	92–96	[69]
Panasonic WV-BP330		Histogram equalization and binarization	88.7	[72]
-		Optical flow and k-means algorithms	95	[71]
FLIR DuoPro R		Pattern recognition and photoplethysmography (PPG)	66	[5]
Kinect depth camera		filter-based tracker and hierarchical algorithm	89.5	[55]
VIVOTEK & Hikvision	Behavior, activity	Ellipse fitting, Delaunay triangulation	82	[36]
Monacor TVCCD-140IR		Loopy belief propagation (BP) algorithm	93.3	[73]
Elphel NC353L		Segmentation and 5D-Gaussian model	-	[74]
Nikon D90		Ellipse-based segmentation algorithm	86	[75]
Microsoft OEM Life Cam		Otsu method, binarization, morphological operation	-	[76]
Kodak DCS760	Body weight	Structure from motion (SfM)		[80]
Nikon D5100		Structure from motion (SfM)	80	[81]