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Confusion Matrix for Test Images using Fast Features

Confusion Matrix for Test Images using Fast Features

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Fig. 1. Block diagram of Human Interrelationship Identification Problem.
Fig. 2. An example of codebook generation
Fig. 3. Confusion Matrix for Training Images using SURF Features
Fig. 4. Confusion Matrix for Training Images using Fast Features
Fig. 6. Confusion Matrix for Test Images using Fast Features
Interrelationship Identification between Humans from Images using Two Class Classifier
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  • Jun 2021
In this paper, we propose an automatic interrelationship identification algorithm between humans. The database belongs to two classes i.e. the first class contains images of two people handshaking and the other class contains images of two people hugging each other. We have developed a classifier using Bag of Words algorithm and SVM to identify the...
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... is identified that for training images the SURF features are giving better results than FAST features. Figure 5 and figure 6 show the confusion matrix for test images for SURF and FAST features respectively. For SURF features out of 100 test images 68 images have been identified in correct class with average accuracy 68% whereas for FAST features out of 100 test images 74 images have been identified in correct class with average accuracy 74%. ...

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