Automating vehicular traffic estimation using optical flow analysis

Authors

Aldrich A. Suratos ⋅ PH National Institute of Physics, University of the Philippines Diliman
May T. Lim ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We present an algorithm for movement speed estimation, and demonstrate the errors that may occur when cameras are deployed in less-than-ideal conditions, such as when there is much occlusion in the video, or the video is taken with camera phones or from security feeds. We find speed underestimation occurs when static occlusions are present, and overestimation with moving occlusions.

Downloads

Issue

2015: Proceedings of the 33rd Samahang Pisika ng Pilipinas Physics Congress

International Year of Light and light-based technologies
3-6 June 2015, University of Northern Philippines, Vigan City

Article ID

SPP-2015-PA-26

Section

Poster Session PA

Published

2015-06-03

How to Cite

[1]

AA Suratos and MT Lim, Automating vehicular traffic estimation using optical flow analysis, Proceedings of the Samahang Pisika ng Pilipinas 33, SPP-2015-PA-26 (2015). URL: https://proceedings.spp-online.org/article/view/article-autom.