Videos

Below are a series of research videos demonstrating Vy’s technology. Vy has developed and patented a powerful set of algorithms collectively called Shape Based Modeling Segmentation (SBMS). SBMS uses scale and angle invariant Bézier Curves to identify objects and areas of interest in real world video. 

By linking related Bézier curves together, SBMS is able to find and characterize objects faster, more reliably, and with complete transparency and auditability. Results of the analysis are saved in an industry standard SQL database that can be displayed or integrated into a larger system.

Play Video
Boulevard​
  • Cars on a major thoroughfare in Pittsburgh -- weather is cloudy
  • Here we see Béziers and ellipses
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Car And Cart​
  • Cars and shopping carts at a mall -- dolly in toward the cart
  • Demonstrates “sweet spot” phenomenon, which is the tendency to recognize ellipses within a size range
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Cup Combo
  • Coffee cup photographed from many angles to show the angle-invariance of Béziers and ellipse recognition
  • Cup suspended on a thread and rotating
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Shopping Carts
  • Row of shopping carts, each bearing a distinctive circular logo
  • Note: wheels are frequently identified as elliptical even though they are occluded
  • Note: two distinct lattice sizes for the sidewalls of the carts
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Walking
  • The world seen as Bézier curves when walking down a small-town main street
  • Ellipse detector is activated
  • Note: small number of false-positive ellipses appearing in trees and foliage
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Driving
  • World seen as Bézier curves when driving through a parking lot down a side street
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Car Emblem
  • Vehicle logo detection with ellipse detector enabled at various angles
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Tagging & Tracking
  • Demonstrates how Bézier curves can be used to tag and track a moving object from a moving platform
Play Video
New Shape Detection
  • Promotional video featuring aerial photography analyzed for elliptical objects and Bézier curves
Play Video
Bi-Bézier Bone Sequence
  • Rapid prototype developed to characterize and collect bone density research data for a new micro CT scanner