{"id":11980,"global_id":"forensicstats.org?id=11980","global_id_lineage":["forensicstats.org?id=11980"],"author":"62","status":"publish","date":"2022-01-27 14:59:25","date_utc":"2022-01-27 20:59:25","modified":"2022-01-27 14:59:25","modified_utc":"2022-01-27 20:59:25","url":"https:\/\/forensicstats.org\/event\/webinar-mantis\/","rest_url":"https:\/\/forensicstats.org\/wp-json\/tribe\/events\/v1\/events\/11980","title":"Webinar: Modeling And iNventory of Tread Impression System (MANTIS) – The development, deployment and application of an active footwear data collection system","description":"

CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in our Spring 2022 Webinar Series on Thursday, March 24, 2022, from 11:00am-Noon CST.<\/strong> The presentation will be \u201cModeling And iNventory of Tread Impression System (MANTIS): The development, deployment and application of an active footwear data collection system.\u201d\u00a0<\/b><\/em><\/p>\n

Presenters: <\/strong>
\nDr. Richard Stone
\nAssociate Professor – Iowa State University
\nDr. Susan VanderPlas
\nAssistant Professor – University of Nebraska-Lincoln<\/p>\n

Presentation Description:<\/strong>
\nThis session will detail the development, capabilities and successful deployment of the Modeling And iNventory of Tread Impression System (MANTIS). MANTIS Optics Scanner takes real time video of gait as the shoe comes in contact with the cover place (again the clear portion). It synchronizes a series of video cameras to create a detailed image of the shoe that can later be processed by software such as Sift + Ransac to create the tread pattern for comparison. The cameras capture between 8 to 15 megapixels for the configuration below (four cameras located in the housing). The use of video optics is expandable to utilize the laser scanning option, though the current utilization focuses on optical capture, thus allowing for tread capture during dynamic movement, i.e. a person walking or running across the system.<\/p>\n

The webinars are free and open to the public, but researchers, collaborators and members of the broader forensics and statistics communities are encouraged to attend. Each 60-minute webinar will allow for discussion and questions.<\/em><\/p>\n

Sign up on the form below<\/strong> (Chrome & Safari web browsers work the best):<\/strong>
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