Node collaborative selection method for large-scale visual computing system
The invention discloses a node collaborative selection method for a large-scale visual computing system, and the method comprises the steps: reconstructing a video monitoring system which achieves the large-range area coverage as much as possible and higher system efficiency through employing the ex...
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Main Authors | , , |
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Format | Patent |
Language | Chinese English |
Published |
11.06.2021
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a node collaborative selection method for a large-scale visual computing system, and the method comprises the steps: reconstructing a video monitoring system which achieves the large-range area coverage as much as possible and higher system efficiency through employing the existing massive front-end nodes under the condition that the available bandwidth and available storage resources of edge nodes are limited. after eliminating redundantly deployed front-end nodes, automatically searching and selecting front-end nodes which possibly shoot a target to be tracked from the front-end nodes contained in a reconstructed video monitoring system according to the spatial information of the target to be tracked and the spatial relative relationship between the front-end nodes and the spatial information of the target to be tracked; and taking the screened front-end node as an effective front-end node, and carrying out a target tracking task according to the searched effective front-end node. Th |
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Bibliography: | Application Number: CN202110022791 |