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US Patent 10410055 System and method for aerial video traffic analysis

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10410055
Date of Patent
September 10, 2019
Patent Application Number
15725747
Date Filed
October 5, 2017
Patent Citations
‌
US Patent 10147193 System and method for semantic segmentation using hybrid dilated convolution (HDC)
Patent Citations Received
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US Patent 12122398 Monitoring system for autonomous vehicle operation
4
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US Patent 12071101 Real-time remote control of vehicles with high redundancy
5
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US Patent 12077024 Angle and orientation measurements for vehicles with multiple drivable sections
6
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US Patent 11500101 Curb detection by analysis of reflection images
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US Patent 10762673 3D submap reconstruction system and method for centimeter precision localization using camera-based submap and LiDAR-based global map
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US Patent 10816354 Verification module system and method for motion-based lane detection with multiple sensors
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US Patent 11573095 Verification module system and method for motion-based lane detection with multiple sensors
‌
US Patent 10942271 Determining an angle between a tow vehicle and a trailer
...
Patent Primary Examiner
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Aklilu K Woldemariam
Patent abstract

A system and method for aerial video traffic analysis are disclosed. A particular embodiment is configured to: receive a captured video image sequence from an unmanned aerial vehicle (UAV); clip the video image sequence by removing unnecessary images; stabilize the video image sequence by choosing a reference image and adjusting other images to the reference image; extract a background image of the video image sequence for vehicle segmentation; perform vehicle segmentation to identify vehicles in the video image sequence on a pixel by pixel basis; determine a centroid, heading, and rectangular shape of each identified vehicle; perform vehicle tracking to detect a same identified vehicle in multiple image frames of the video image sequence; and produce output and visualization of the video image sequence including a combination of the background image and the images of each identified vehicle.

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