Department

Mathematical Sciences

Author Type

Undergraduate Student

Submission Type

Event

Start Date

27-7-2017 3:15 PM

End Date

27-7-2017 4:15 PM

Description

Detection and tracking of flags from a handheld video allows for the computation of distance between these flags in a three dimensional space. With this tool, scientific experiments requiring spatial arrangements indicated by markers would become easier to both map and determine the area. The initial video, composing of different sets of flags laid out, is run through a detection program which provides locations of flags inside of the frame. From these coordinates, a second program is run, which determines tracking. The tracking works by looking to see if there are points in sequential frames that are closer than a threshold. If they are sequential and close, they are joined together to make a track. This track is built upon until there are no more points within a tolerable distance. Following tracking, the user is able to select which specific tracks they want. The reconstruction gives a three dimensional environment based on the flags that were detected.

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Jul 27th, 3:15 PM Jul 27th, 4:15 PM

A Semi-Automated System for 3D Scene Analysis: From Detection and Tracking to Reconstruction

Detection and tracking of flags from a handheld video allows for the computation of distance between these flags in a three dimensional space. With this tool, scientific experiments requiring spatial arrangements indicated by markers would become easier to both map and determine the area. The initial video, composing of different sets of flags laid out, is run through a detection program which provides locations of flags inside of the frame. From these coordinates, a second program is run, which determines tracking. The tracking works by looking to see if there are points in sequential frames that are closer than a threshold. If they are sequential and close, they are joined together to make a track. This track is built upon until there are no more points within a tolerable distance. Following tracking, the user is able to select which specific tracks they want. The reconstruction gives a three dimensional environment based on the flags that were detected.