Tracing analysis system and method combining video monitoring with Wi-Fi locating

Abstract

The invention discloses a tracing analysis system and method combining video monitoring with Wi-Fi locating, and relates to the field of locating and tracing analysis. The tracing analysis method comprises a camera video monitoring and locating analysis phase, a Wi-Fi locating analysis phase and a target object tracing analysis phase. The tracing analysis system adopts a camera video analysis to locate the position of the target and analyzes the accurate behavior of the target; and meanwhile the Wi-Fi locating system is started to identify the identity of the target in the video analysis system, long-term and accurate locating and analysis of the target according to the identity are achieved, and meanwhile the tracing locating accuracy and the target identity identifiability are satisfied at the same time.

Description

technical field [0001] The invention relates to the field of positioning and tracking analysis, in particular to a target tracking analysis system and method using a camera combined with Wi-Fi. Background technique [0002] At present, the application demand of indoor positioning and tracking analysis technology is increasing. In the fields of security, employee management, commercial passenger flow, behavior analysis and other fields, personnel location and tracking are extremely important. Realizing low-cost and accurate indoor positioning and tracking has very important practical significance. The commonly used GPS positioning method cannot be used indoors due to signal reception problems. Common indoor positioning technologies include positioning methods based on the receiving strength of radio frequency signals (Bluetooth, Wi-Fi, etc.). The position of the point to calculate the position of the target. Or calculate the location of the target through the RSSI of mult...

AI Technical Summary

Problems solved by technology

However, the camera video analysis cannot be associated with the identity of the target. Once the tracking target is lost, or the target reappears the next day, it cannot be associated with the same target.

Other methods of identifying and associating target identities through face recognition or target visual features require the target to have a sufficiently large and clear specific image, and at the same time have great requirements on the computing performance of the device, which is extremely difficult to implement

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