1 / 10

Vehicle Counter and Parking Lot Analysis ECE 172A Project Edward Tran

Vehicle Counter and Parking Lot Analysis ECE 172A Project Edward Tran. To count the number of spots that are taken or available in a parking lot. Research Problem Statement.

ossie
Télécharger la présentation

Vehicle Counter and Parking Lot Analysis ECE 172A Project Edward Tran

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Vehicle Counter and Parking Lot Analysis ECE 172A Project Edward Tran

  2. To count the number of spots that are taken or available in a parking lot Research Problem Statement

  3. If the parking lot is full, it will tell the drivers so they don't have to waste time or gas looking for parking in a full lot Motivation

  4. A Vision-Based Parking Lot Management System Sheng-Fuu Lin, Yung-Yao Chen, and Sung-Chieh Liu 2006 IEEE International Conference on System, Man and Cybernetics Car-Park Occupancy Information System D.B.L. Bong, K.C. Ting, N.Rajaee www.cs.ieeemalaysia.org Related Research

  5. White balance to maintain color consistency Define parking spaces and mask them off Find median RGB values of parking spot Threshold against median of road Count amount of cars and empty spaces Basic Approach

  6. Results

  7. Good It kind of works Bad Slow Not very robust Gets tricked by Cars that are similar color as road Shadows Changing lighting conditions Discussion of Results

  8. Why is it slow? Lots of for loops Why it gets tricked? Couldn't get the equation/algorithm from the paper to work because too vague on a couple variables Discussion of Results

  9. More streamlined/optimized code More robust thresholding/foreground extraction Future Improvements

  10. Lessons Learned Ask for help Stumbling Points/Milestones Jpeg compression messed up my mask Saving MATLAB figure in same resolution as inputted Recap

More Related