Invention Grant
- Patent Title: Tracking of multiple objects in cooperation with multiple neural networks
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Application No.: US17696024Application Date: 2022-03-16
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Publication No.: US12086993B2Publication Date: 2024-09-10
- Inventor: Cosmin Ionut Bercea
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: ROBERT BOSCH GMBH
- Current Assignee: ROBERT BOSCH GMBH
- Current Assignee Address: DE Stuttgart
- Agency: NORTON ROSE FULBRIGHT US LLP
- Agent Gerard A. Messina
- Priority: DE 2021202933.7 2021.03.25
- Main IPC: G06T7/20
- IPC: G06T7/20 ; G06F9/54 ; G06N3/045

Abstract:
A method for tracking and/or characterizing multiple objects in a sequence of images. The method includes: assigning a neural network to each object to be tracked; providing a memory shared by all neural networks, and designed to map an address vector of address components, via differentiable operations, onto one or multiple memory locations, and to read data from these memory locations or write data into these memory locations; supplying images from the sequence, and/or details of these images, to each neural network; during the processing of each image and/or image detail by one of the neural networks, generating an address vector from at least one processing product of this neural network; based on this address vector, writing at least one further processing product of the neural network into the shared memory, and/or reading out data from this shared memory and further processing the data by the neural network.
Public/Granted literature
- US20220309680A1 TRACKING OF MULTIPLE OBJECTS IN COOPERATION WITH MULTIPLE NEURAL NETWORKS Public/Granted day:2022-09-29
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