Skip to content

Statistical and Computational Tools for Automated Matching of Footwear Class Characteristics

Type: Webinar
Research Area: Footwear

This CSAFE Center Wide webinar was presented on April 27, 2018 by Dr. Charless Fowlkes, CSAFE researcher and associate professor of computer science at University of California, Irvine.

Presentation Description:

We investigate the problem of automatically determining shoe outsole class characteristics from crime scene impression evidence using computer vision and machine learning techniques. This problem can be formulated as an image retrieval task: given a photo of crime scene evidence, return a ranked list of matching candidates from a database of reference prints. I will describe our approach to automatically extracting tread pattern features using convolutional neural nets and discuss how these features can be robustly compared across images using normalized correlation measures. This framework can be tuned automatically from training data and currently produces state-of-the-art matching performance on benchmark evaluations. Finally, I will discuss some of the challenges in assembling and maintaining a comprehensive database of reference tread patterns.

 

 

Related Resources

Center for Statistics and Application in Forensic Evidence Update

Center for Statistics and Application in Forensic Evidence Update

The information below highlights a sample of current research initiatives led by the CSAFE team. Additional accomplishments in other forensic science disciplines will be discussed in subsequent issues of Forensic…
Automatic Class Characteristic Recognition in Shoe Tread Images

Automatic Class Characteristic Recognition in Shoe Tread Images

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…
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,…