Open Access Open Access  Restricted Access Subscription or Fee Access

Vacant Parking Lot Detection

Abitha K S

Abstract


Abstract

An issue looked in significant metropolitan regions, is the scan for parking spot. This study proposes a novel path for programmed parking garages’ location. In this methodology, first separate highlights by creating location patches and building Gaussian ground model from info video outlines. At that point, this model is utilized to prepare an eight-class multi-SVM classier. At last, the classification is upgraded internationally by means of Markov Random Field. This system extracted lighting-invariant features of patches and trained weak classifier for the recognition of obstruction pattern in the patch layer. Proposed framework can overcome the inter-object obstruction and achieve better results.

Keywords: Parking lot detection, SVM classifier, Markov random field, status inference, discriminative framework

Cite this Article

Abitha KS. Vacant Parking Lot Detection. Journal of Image Processing & Pattern Recognition Progress. 2019; 6(2): 11–21p.



Keywords


parking lot detection, SVM classifier, Markov random field, status inference, discriminative frame work.

Full Text:

PDF

References


Determining car-park occupancy from single images , S. Funck, N. Mohler and W. Oertel, IEEEIntelligent Vehicles Symposium, 2004.

V.W.S. Tang, Y. Zheng, and J. Cao, An Intelligent Car Park Management System Based On Wireless Sensor Networks, 1st International Symposium On Pervasive Computing And Applications, pp.65-70, 3-5 Aug, 2006.

Smart parking : an application of optical wireless sensor network, Jatuporn Chinrungrueng, Udomporn Sunantachaikul, and Satien Triamlumlerd, International Symposium on Applications and the Internet Workshops, pp. 66, 2007.

Robust parking space detection considering inter-space correlation , Qi Wu , Chingchun Huang , Shih-yu Wang , Wei-chen Chiu , Tsuhan Chen 2007 IEEE International Conference on Multimedia and Expo.

Luo-Wei Tsai, Jun-Wei Hsieh, Kao-Chin Fan, Vehicle Detection Using Normalized Color and Edge Map, IEEE Transactions on Image Processing, Vol. 16, Issue 3, pp.850-864, March 2007.


Refbacks

  • There are currently no refbacks.