Vehicle-detection-Tracking

Train a SVM linear classifier and use to detect vehicles on the road.

Steps:

1. Perform a Histogram of Oriented Gradients (HOG) feature extraction on a labeled training set of images and train a Linear SVM classifier.
2. Implement a sliding-window technique and use your trained classifier to search for vehicles in images.
3. Run your pipeline on a video stream (start with the test_video.mp4 and later implement on full project_video.mp4) and create a heat map of recurring detections frame by frame to reject outliers and follow detected vehicles.
4. Estimate a bounding box for vehicles detected.