Personnel path tracking method and system and terminal equipment
A path tracking and personnel technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problem of inability to effectively monitor the movement trajectory in real time, to avoid the loss of personnel tracking, and solve the monitoring and path tracking effects.
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Embodiment 1
[0040] Such as figure 1 As shown, this embodiment provides a method for tracking a personnel path, which specifically includes:
[0041] Step S101: Collect valid face video data and valid mobile device data from multiple data sources.
[0042] In specific applications, a large amount of face video data is collected through monitoring camera equipment, a large amount of mobile device data can be collected through wireless collection equipment, and a large amount of face video data and mobile The device data will then be saved to the database. Through the data warehouse technology (Extract-Transform-Load, ETL), the effective face video data and effective mobile device data in multiple data sources are respectively collected. It should be noted that the above-mentioned multiple data sources include text files, relational databases, Various data sources such as non-relational databases. Through the data warehouse technology (Extract-Transform-Load, ETL), nodes can be dynamicall...
Embodiment 2
[0060] Such as figure 2 As shown, in this embodiment, step S101 in Embodiment 1 specifically includes:
[0061] Step S201: Collect face video data and mobile device data from multiple data sources by means of distributed cluster data extraction, and extract face video data and mobile device data.
[0062] In a specific application, when collecting face video data and mobile device data in multiple data sources, data extraction is performed on multiple data sources through a distributed cluster data extraction method, which can improve data extraction efficiency.
[0063] Step S202: Perform a data cleaning operation on the face video data and the mobile device data, delete invalid face video data and invalid mobile device data, and acquire valid face video data and valid mobile device data.
[0064] In a specific application, after extracting face video data and mobile device data from multiple data sources, perform data cleaning operations on the extracted face video data an...
Embodiment 3
[0066] Such as image 3 As shown, in this embodiment, step S102 in Embodiment 1 specifically includes:
[0067] Step S301: Set query conditions according to the specified area to be queried and the specified time range.
[0068] In a specific application, according to the query requirements, the query condition is set such that valid face video data and valid mobile device data appear within the specified area and specified time range to be queried. Satisfying the query condition means that the valid face video data appears in the specified area and the specified time range, and the valid mobile device data appears in the specified area and the specified time range. It should be noted that valid face video data refers to face video data that can be used for face recognition, and valid mobile device data refers to mobile identification data that can be used for device recognition.
[0069] Step S302: According to the query condition, perform a collision query operation on the...
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