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US Patent 11030755 Multi-spatial scale analytics

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
110307550
Patent Inventor Names
Sawsen Rezig0
Franck Bachet0
Guillaume Sauvage De Saint Marc0
Hugo Mike Latapie0
Carlos M. Pignataro0
Enzo Fenoglio0
Date of Patent
June 8, 2021
0
Patent Application Number
167435220
Date Filed
January 15, 2020
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Patent Citations
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US Patent 10192107 Object detection method and object detection apparatus
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US Patent 10628961 Object tracking for neural network systems
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US Patent 10157479 Synthesizing training data for broad area geospatial object detection
Patent Citations Received
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US Patent 11282158 Method for managing tracklets in a particle filter estimation framework
Patent Primary Examiner
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Jonathan S Lee
0
Patent abstract

Systems, methods, and computer-readable for multi-spatial scale object detection include generating one or more object trackers for tracking at least one object detected from on one or more images. One or more blobs are generated for the at least one object based on tracking motion associated with the at least one object. One or more tracklets are generated for the at least one object based on associating the one or more object trackers and the one or more blobs, the one or more tracklets including one or more scales of object tracking data for the at least one object. One or more uncertainty metrics are generated using the one or more object trackers and an embedding of the one or more tracklets. A training module for detecting and tracking the at least one object using the embedding and the one or more uncertainty metrics is generated using deep learning techniques.

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