Automated Video-Based Traffic Count Analysis.

Taylor, C. J.; Kennedy, Ryan; Yang, Yuting

i

Automated Video-Based Traffic Count Analysis.

2016
By Taylor, C. J. ; Kennedy, Ryan ; Yang, Yuting

File Language:

English

Details

Creators:

Taylor, C. J. ; Kennedy, Ryan ; Yang, Yuting
Corporate Creators:

University of Pennsylvania ; Delaware Valley Regional Planning Commission
Corporate Contributors:

Carnegie-Mellon University ; University Transportation Centers Program (U.S.)
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

University Transportation Centers Program (U.S.)
Abstract:

The goal of this effort has been to develop techniques that could be applied to the ; detection and tracking of vehicles in overhead footage of intersections. To that end we ; have developed and published techniques for vehicle tracking based on detecting and ; tracking point features. We showed how this approach could be combined with image ; based background subtraction to find and group vehicles. In subsequent work we showed ; how we could extract the 3D structure of a vehicle from a collection of feature tracks by ; exploiting the non-linearities associated with the pinhole projection model.
Format:

PDF
Funding:

Contract No. DTRT12GUTG11
Download URL:

https://rosap.ntl.bts.gov/view/dot/31315/dot_31315_DS1.pdf
File Type:

[PDF - 1.53 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha256:4d9737de2dc7c723c4adbffa128646d3eeaf48f30a07b405df77f13e82a9f234

File Language:

English

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