Skip to content

Automatic Class Characteristic Recognition in Shoe Tread Images

Conference/Workshop:
American Academy of Forensic Sciences
Published: 2022
Primary Author: Jayden Stack
Secondary Authors: Rick Stone, Colton Fales, Susan Vanderplas
Research Area: Footwear

One of the fundamental problems in footwear forensics is that the distribution of class characteristics in the local population is not currently knowable. Surveillance devices for gathering this data are just half of the battle — it is also necessary to process the data gathered using these devices and identify relevant features. This presentation will describe progress made in automatic identification of relevant footwear features – brand, shoe size, and tread pattern elements, as well as complications which arise when combining machine learning algorithms with human-friendly features. Using transfer learning to connect pre-trained neural networks to newly gathered and labeled training data, this method bridges the gap between unfriendly numerical features and descriptors used by examiners in practice. Leveraging both clean training data and “messy” data gathered from the local community using newly developed footwear surveillance devices, the authors will present developments in footwear forensics which will enable examiners to testify as to the frequency of class characteristics in the local population in the very near future.

Related Resources

Modeling And iNventory of Tread Impression System (MANTIS): The development, deployment and application of an active footwear data collection system

Modeling And iNventory of Tread Impression System (MANTIS): The development, deployment and application of an active footwear data collection system

This CSAFE webinar was held on March 24, 2022. Presenters: Dr. Richard Stone Iowa State University Dr. Susan Vanderplas University of Nebraska, Lincoln Presentation Description: This webinar details the development,…
Footwear Research in CSAFE

Footwear Research in CSAFE

This presentation provided an overview of CSAFE’s footwear research and was presented at IAI in 2021
The effect of image descriptors on the performance of classifiers of footwear outsole image pairs

The effect of image descriptors on the performance of classifiers of footwear outsole image pairs

Shoe prints are commonly found at the scene of a crime and can sometimes help link a suspect to the scene. Because prints tend to be partially observed or smudgy,…