![GitHub - SamPlvs/Object-detection-via-HOG-SVM: This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries GitHub - SamPlvs/Object-detection-via-HOG-SVM: This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries](https://user-images.githubusercontent.com/35964759/38281042-9523760a-37a0-11e8-914d-917308e3ac22.png)
GitHub - SamPlvs/Object-detection-via-HOG-SVM: This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries
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HOG descriptor. The size of this image is 6464 pixels, HOG descriptors... | Download Scientific Diagram
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Brain Sciences | Free Full-Text | A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification
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1: Human detection with HOG descriptors. The HOG detectors cue mainly... | Download Scientific Diagram
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