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Target tracking method and device based on edge calculation

A target tracking and edge computing technology, applied in computing, computer components, color TV components, etc., can solve problems such as the inability to meet the real-time and reliability of target tracking applications, non-real-time target tracking, and target loss.

Active Publication Date: 2019-07-09
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above-mentioned existing tracking methods obviously cannot be applied to the actual urban target tracking application, thus, the problems of unreal-time target tracking and target loss often occur
[0005] It can be seen that the existing target tracking methods cannot meet the real-time and reliability requirements of target tracking applications.

Method used

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  • Target tracking method and device based on edge calculation
  • Target tracking method and device based on edge calculation
  • Target tracking method and device based on edge calculation

Examples

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Effect test

Embodiment 1

[0031] like Figure 4 A target tracking method based on edge computing is shown. The drone mainly shoots the target, and the ground camera network assists in shooting the target when the drone is unable to work. The video captured by the drone and the ground camera network The processing and analysis of the data stream is not done centrally by the ground station, and the edge node computing cluster composed of terminal equipment on the ground is responsible for the processing and analysis of the video data stream.

[0032] Furthermore, the terminal devices refer to edge nodes in edge computing, including mobile phones, notebooks, routers, edge servers, and base stations, which are devices with computing, storage, and communication capabilities that are at the edge of the network.

[0033] Furthermore, when the UAV is tracking the target, the UAV will offload the video analysis task to the available edge nodes on the ground; Offloaded to part of the ground camera network, the ...

Embodiment 2

[0045] This embodiment describes the present invention from the perspective of hardware, referring to image 3 As shown in the topological diagram of the present invention, this embodiment discloses a target tracking system based on edge computing, which is characterized in that it includes: a main tracking module, which mainly shoots the target through a drone; When the man-machine is unable to work, the ground camera network assists in shooting the target; the analysis module processes and analyzes the video data stream captured by the drone and the ground camera network, which is not centrally processed by the ground station, and the edge node composed of ground terminal equipment Computing clusters are responsible for the processing and analysis of video data streams. In edge computing, the terminal devices refer to edge nodes, including mobile phones, notebooks, routers, edge servers and base stations, which have computing, storage and communication capabilities and are at...

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Abstract

The invention discloses a target tracking method based on edge computing, which mainly shoots a target through an unmanned aerial vehicle, assists in shooting the target through a ground camera network when the unmanned aerial vehicle cannot work, and an edge node computing cluster formed by ground terminal equipment is responsible for processing and analyzing video data streams. When the unmannedaerial vehicle cannot normally track, the ground camera network and the edge nodes are selectively requested to be combined to participate in a tracking task, so that the robustness of unmanned aerial vehicle tracking can be improved, and even if a final target is completely lost, the target can be efficiently found again to continue tracking due to near field communication between the edge nodesand the ground camera network; the container technology is used for isolating platform differences, so that the problem of incompatibility of video analysis and processing applications on different platforms can be solved; the ground-air cooperative mode is reasonably selected according to the current tracked state of the target, so that the energy consumption of the whole network can be reduced,and the response time of the network can be prolonged.

Description

technical field [0001] The present invention relates to the technical field of monitoring and tracking, in particular to an edge computing-based target tracking method and device. Background technique [0002] Traditional urban object tracking networks rely on a large number of ground cameras and cloud servers, such as figure 1 As shown, a large number of ground cameras are always shooting, and these massive data are uploaded to the cloud server for centralized processing and analysis, and then the cloud server feeds back the results to the client for viewing and tracking. Among them, network bandwidth is a real-time changing and limited resource. Therefore, uploading massive video data to cloud servers for centralized processing and analysis will occupy a large amount of network bandwidth, causing network congestion, making the entire communication process too late to complete real-time tracking. Even lose the target. [0003] With the development of UAV technology, there...

Claims

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Application Information

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IPC IPC(8): H04N7/18H04N5/14H04N21/643H04B7/185H04L29/08G06K9/00G06T7/20
CPCH04N7/181H04N5/145H04N21/643H04B7/18506H04L67/10G06T7/20G06T2207/10016G06V20/13G06V20/52Y02D30/70
Inventor 邓晓衡刘亚军李君
Owner CENT SOUTH UNIV
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