Invention Grant
- Patent Title: Failure detection for a neural network object tracker
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Application No.: US15877226Application Date: 2018-01-22
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Publication No.: US10740654B2Publication Date: 2020-08-11
- Inventor: Amirhossein Habibian , Cornelis Gerardus Maria Snoek
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: Qualcomm Incorporated
- Current Assignee: Qualcomm Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Seyfarth Shaw LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06K9/66 ; G06N3/08

Abstract:
A method of detecting failure of an object tracking network with a failure detection network includes receiving an activation from an intermediate layer of the object tracking network and classifying the activation as a failure or success. The method also includes determining whether to initiate a recovery mode of the object tracking network or to remain in a tracking mode of the object tracking network, based on the classifying.
Public/Granted literature
- US20190228266A1 FAILURE DETECTION FOR A NEURAL NETWORK OBJECT TRACKER Public/Granted day:2019-07-25
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