Head Pose Detection Using Histogram of Gradient

Hog effect

In this project the Histogram of Gradient(HOG) features have been used to detect and classify faces in Images and Video. The motivation for this project is the driver safety program. Here HOG features have been used along with SVM to classify images of Pointing04 dataset into different head position classes. The classifier has been evaluated using error-rate, precision, recall, specificity, prevalence and F1-scores. This is a useful part of driver head position identification. For the second part of the project the head position of an individual have been tracked throughout videos using the hog features.