Table 13.
Comparison between methods used in application.
| Application | Method Used | Advantages | Disadvantages |
|---|---|---|---|
| Vehicle Detection, Classification and Tracking |
Conventional Techniques [136] |
- Motion detection problem - Less computational time |
- Background noise - Segmenting the objects from foreground nature |
| Machine Learning [137] | - Provides better perf- ormance of single moving object detection based on scenario |
- In multiple objects moving doesn’t work probably |
|
| Deep Learning [138] | - Detect small objects better than multiple objects |
- Restricted with the functionality of similarities |