Invention Grant
- Patent Title: Method, apparatus, and system for real-time object detection using a cursor recurrent neural network
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Application No.: US15661929Application Date: 2017-07-27
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Publication No.: US10402995B2Publication Date: 2019-09-03
- Inventor: Richard Kwant , Anish Mittal , David Lawlor
- Applicant: HERE GLOBAL B.V.
- Applicant Address: NL Eindhoven
- Assignee: HERE Global B.V.
- Current Assignee: HERE Global B.V.
- Current Assignee Address: NL Eindhoven
- Agency: Ditthavong & Steiner, P.C.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/60 ; G06N3/08 ; G06N3/04

Abstract:
An approach is provided for object detection. The approach involves receiving a feature map encoding high level features of object contours detected in an image divided into a plurality of grid cells, and further encoding start locations of each detected object contour. The approach also involves selecting a grid cell including a start location of an object contour. The approach further involves determining a precise location of the start location within the grid cell. The approach further involves determining a set of feature values from a set of proximate grid cells. The approach further involves processing the precise location and the set of feature values using a machine learning network to output a displacement vector to indicate a next coordinate of the object contour, and updating a cursor of the machine learning network based on the displacement vector.
Public/Granted literature
- US20190035101A1 METHOD, APPARATUS, AND SYSTEM FOR REAL-TIME OBJECT DETECTION USING A CURSOR RECURRENT NEURAL NETWORK Public/Granted day:2019-01-31
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