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Parking Spot Recognition from Video Footage

Parking Spot Recognition from Video Footage. Shani Achtenberg Liron Silfin Advisor: Oren Freifeld. GOALS. Automatic detection of free spaces in a given parking lot Become familiar with computer vision and image processing methods. CHALLENGES. Projective distortion due to camera geometry

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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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