Personnel movement trajectory tracking and backtracking method and system based on domestic CPU environment
A technology of motion trajectory and backtracking method, which is applied in the direction of basic element extraction, image data processing, biological neural network model, etc., to achieve the effect of fast calculation speed, simplified complexity and simple calculation.
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Embodiment 1
[0055] combined with figure 1 , this embodiment proposes a method for tracking and backtracking personnel movement trajectory based on domestic CPU environment, and its implementation includes:
[0056] Step S1. Based on the personnel information and the identifiable face images of the personnel, a personnel feature database is established.
[0057] Personnel information includes required information and optional information, among which:
[0058] Necessary information includes the name of the person and the ID number of the person.
[0059]Optional information includes age, gender, home address, work unit, personnel number, and hobbies.
[0060] After storing the necessary information and the identifiable face image of the person in the person feature database, the unique ID of the person will be generated in the person feature database as the retrieval index and unique identification of the person.
[0061] Step S2, based on the actual spatial layout of the park, use HTML...
Embodiment 2
[0072] combined with figure 2 , the present embodiment proposes a system based on domestic CPU environment to track and trace personnel movement trajectory, and its implementation structure includes: acquisition building module 1, drawing module 2, camera module 3, image comparison module 4, acquisition and drawing module 5, storage module 6. Trajectory backtracking module7.
[0073] The collection building block 1 is used to collect personnel information and identifiable facial images of personnel, and then establish a personnel feature library based on the collected information. Personnel information includes necessary information and optional information, among which: necessary information includes personnel name and personnel ID number; optional information includes personnel age, gender, home address, work unit, personnel number, hobbies; After the recognized face image is stored in the personnel feature database, the unique ID of the person will be generated in the per...
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