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Parking Spot Recognition from Video Footage

This project focuses on detecting available parking spaces in parking lots using computer vision methods. Addressing challenges such as projective distortion, occlusions, illumination changes, noise, and foreground-background separation. Solutions include geometric rectification, data collection, PCA, EM-PCA, robust PCA, parking classification, line detection, noise mitigation, and occupancy calculation.

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Parking Spot Recognition from Video Footage

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  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

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