Multi-human-body tracking method based on human body part model

Abstract

The invention provides a multi-human-body tracking method based on a human body part model and relates to the video monitoring technology field. The method comprises the following steps of acquiring image data, extracting the human body part model of each person and calculating a color characteristic, acquiring the part characteristic set of each person, and gathering and acquiring a multi-human-body part characteristic set list; then, calculating the similarity of the part characteristic set of each person acquired from a current frame and each person in the multi-human-body part characteristic set list acquired from a previous frame and acquiring a matching matrix; and according to the matching matrix, calculating the similar confidence of each person acquired from the current frame to each person acquired from the previous frame, according to the similarity and the similar confidence, matching a target acquired from the current frame with the target of the previous frame, and acquiring a tracking result. By using the method, the detection target of the current frame can be accurately matched to the position of the previous frame and a new target is discovered, and the problem oftracking failure caused by a characteristic difference generated because of human body deformation during a multi-human-body tracking process is effectively solved.

Description

technical field [0001] The invention relates to the technical field of video monitoring, and in particular to a multi-body tracking method based on a human body part model. Background technique [0002] Smart society and smart city have become a main direction of domestic urban construction. With the explosion of artificial intelligence technology, artificial intelligence has become a national strategy and policy. The retail industry has also proposed the concept and measures of new retail, which will be highly intelligent, convenient, automated, and professional, greatly reducing intermediate links and liberating manpower. Among them, smart unmanned stores have become the most emerging market in the current retail industry. The smart unmanned store is the product of the combination of artificial intelligence and new retail. It is a 7x24 unattended store that realizes the entire shopping process through artificial intelligence. This kind of store is connected with the arti...

AI Technical Summary

Problems solved by technology

[0004] Although there are many different tracking methods, the most important thing in the tracking process is the characteristics of the target, and the main reason for the tracking failure is the feature change during the tracking process.

At present, the problems of multi-body tracking technology are as follows: due to the difference in features caused by the change of human scale, the tracking fails; compared with other targets, human targets will undergo more deformation during the movement process, and the resulting features Changes; changes in target features due to partial occlusion

Images