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GTC ON-DEMAND

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Abstract:
We will discuss 3D vehicle and pedestrian tracking and localization by monocular surveillance cameras for an AI city. We'll explain how to use 2D detections to localize vehicles in 3D world coordinates and how to estimate the GPS speed with a tracking approach. We will also examine how appearance features and temporal consistency combine to define clustering loss between two tracklets and how we used five clustering operations for loss minimization.
We will discuss 3D vehicle and pedestrian tracking and localization by monocular surveillance cameras for an AI city. We'll explain how to use 2D detections to localize vehicles in 3D world coordinates and how to estimate the GPS speed with a tracking approach. We will also examine how appearance features and temporal consistency combine to define clustering loss between two tracklets and how we used five clustering operations for loss minimization.  Back
 
Topics:
Intelligent Video Analytics, Computer Vision
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9266
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