Automation of pedestrian tracking in a crowded situation using an angled uncalibrated camera

SAADAT SAMAN

Date of Award

2011

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Information Systems & Computer Science

Abstract

Studies on pedestrians using microscopic simulation requires large amounts of trajectory data from real-world pedestrian crowds. The collection of such data, if done manually, involves tremendous effort and is very time-consuming. Although many studies ha

Comments

The C7.S23 2011

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