- Title: Evaluation of methods and configuration for construction a people detection system.
- Description: In recent years a steady transition from analogue to digital surveillance cameras has been observed. With this, computational power on cameras has been increasing, pushing the limit of applicable real-time solutions. One of these real-time solutions are people finding systems, which is the topic of this thesis. A wide range of methods and configurations utilized when finding people in overhead view footage will be concerned. This thesis will also contain an in-depth comparison of these, hopefully aiding in future development of real-time classifiers. Haar features and histogram of oriented gradients are the two main features in this thesis, which have been being thoroughly examined. A comparison between different classifier structures, such as cascades, trees and support vector machines is also presented. The final measurements performed during this master thesis demonstrates interesting tendencies, which are applicable in future development.
- Start Date: Nov. 1, 2010
- Finished Date: May 10, 2011
- Supervisor: Håkan Ardö
- Student: Marcus Danielsson, (-)
- Student: Marcus Johansson, (-)
- Report (1.7 MB)
- Popular Science Report (43.0 KB)
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Last update: 2013-04-11
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