Invention Grant
- Patent Title: Multi-spatial scale analytics
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Application No.: US17339390Application Date: 2021-06-04
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Publication No.: US11580747B2Publication Date: 2023-02-14
- Inventor: Hugo Mike Latapie , Franck Bachet , Enzo Fenoglio , Sawsen Rezig , Carlos M. Pignataro , Guillaume Sauvage De Saint Marc
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Polsinelli
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06V20/52 ; G06N3/08 ; G06K9/62 ; G06T7/194 ; G06T7/292 ; G06T7/254 ; G06V20/20

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.
Public/Granted literature
- US20210295541A1 MULTI-SPATIAL SCALE ANALYTICS Public/Granted day:2021-09-23
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