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What is SVM Classification with HOG Features about?

The document discusses extracting features from images using Histogram of Oriented Gradients (HOG) and classifying the features using a Support Vector Machine (SVM) classifier to detect pedestrians. It first explains the HOG algorithm and feature extraction process. It then discusses training an SVM classifier on the training image features and testing it on testing image features. The results showed 97.9% accuracy, 0.8% false positive rate, and 2.1% miss rate, demonstrating the model

Author

Achour Idoughi

Language

EN