Reveiw of Developed Object DetectionTechniques for Auto Detection System
The automatic detection has emerged as a technique in a realistic manner within the field of automation. This is very useful in defence as well as civil sector. The main objective of the paper is to model, simulate and analyse Automatic Target Detection and Shooting (ATDS) of objects, used for target acquisition, tracking, detection and shooting. The proposed paper can be divided into the following techniques:
- Improvised parametric ratios algorithm for blob analysis of object recognition.
- Feature based target classification algorithm.
- Analysis of different data samples for classification by Bag of feature technique.
- Algorithm for imprecise test detector, HOG-SVM classifier technique.
This system has the ability to classify the physically existing objects like tank, jeep, tetra truck in real time using thermal imaging cameras during night time as well as in bad weather conditions. The Analysis of all techniques are provided in tabular form.
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