Table 3.
Non-Deep Learning Based Detection.
Case Study | Algorithm | Detection Accuracy |
---|---|---|
Floor cleaning: Dirt and Mud detection on floor [14] | Spectral residual filter | 75.45 |
Floor cleaning: Dirt and mud detection [38] | Spectral residual filter + Maximally Stable Extremal Regions | 80.12 |
Garbage Detection [39] | Histogram of Oriented Gradients (HOG) + Gabor + Color | 80.32 |
Trash detection [40] | SVM + Scale-invariant feature transform (SIFT) | 63 |