Indoor multi-target tracking method using density-based fast search clustering algorithm
A clustering algorithm and multi-target technology, which is applied in the field of indoor multi-target tracking, can solve the problems of frequent changes of WiFi hotspots, unsuitability for multiple targets, and many preprocessing steps, so as to overcome the problem of wireless blind spots and the number of clusters. Accurate, good wall penetration effect
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[0033] 1. Technical principle
[0034] The present invention uses ZigBee wireless nodes to cover all positions in the scene area as evenly as possible under the crossover network of wireless links, and uses the increase or attenuation of the link signal strength value caused by the occlusion of the wireless link by humans, which is harmful to the target. The location is estimated. After collecting link information data, first perform link fluctuation detection on the entire scene area to obtain the distribution map of all fluctuating links, then remove the links, leaving only the intersection formed by the links, the scene area at this time There is only one point distributed coordinate system. On this basis, the density-based fast search clustering algorithm is used to obtain the number and location of the target, and then the hidden Markov model is used to correct the number of targets, and the fuzzy The C clustering algorithm is used to correct the position of the target, and...
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