Vehicle-detection-and-Tracking
The goals / steps of this project are the following:
- Perform feature extraction on a labeled training set of images, this includes HOG (Histogram of Oriented Gradients) feature and color feature
- Train SVM classifier
- Implement a sliding window technique and use the trained classifier to search for vehicles in images
- Run the tracking pipeline on a video stream. Create a heat map of recurring detections frame by frame to reject outliers and follow detected vehicles
- Estimate a bounding box for vehicles detected.