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Shoe tracks are the evidences which are conserved the most by police forces on crime scenes

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

01.08.2014 - 31.12.2016

Overview

Shoe tracks are the evidences which are conserved the most by police forces on crime scenes. However it is very difficult to assign found shoe tracks automatically to reference tracks that are stored in a data base. We aim to build a new, smart, interactive system that helps to quickly assign unknown shoe tracks to reference tracks. This assignment process consists of two steps. In the first step, features from a shoe track indexing system are assigned to known reference tracks. In the second step, a user enters features into the system which are visible on the unknown track. The system is supporting the user by determining which features have the biggest expected information gain as well as returning the reference tracks ordered by their similarity to the stated search criteria.

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Facts

Type of project

Forschung

Internal organisations involved
  • Algorithmic Business F&E
Funding
  • KTI-HSLU als Hauptgesuchsteller/in
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Persons involved: internal

Project manager
  • Thomas Koller
Member of project team
  • Marc Pouly
  • Tim vor der Brück

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

08/01/2014 - 12/31/2016

Project Head

Prof. Dr. Thomas Koller

Head of the Master's Program in Engineering

+41 41 757 68 32

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