1. Parking Spot Recognition from Video Footage
Shani Achtenberg
Liron Silfin
Advisor: Oren Freifeld

2. GOALS Automatic detection of free spaces in a given parking lot
Become familiar with computer vision and image processing methods

3. CHALLENGES Projective distortion due to camera geometry
Occlusions due to viewing angle
Illumination changes
Noise
Separation of foreground from background

4. OUR SOLUTION
Geometric rectification using homography estimation

5. OUR SOLUTION
Data collection
PCA
EM-PCA
Robust PCA

6. OUR SOLUTION
Parking classification
Line detection via RANSAC

7. OUR SOLUTION
Mitigating pixel-level noise using super pixels of the results
Calculate occupancy percentage of each parking spot
Graphic representation

8. TYPICAL RESULTS