Invigilator tracking method based on postures

An attitude and target tracking technology, applied in the field of target tracking, can solve problems such as drift, not well solved, occlusion and scale change, and achieve the effect of simplifying complexity, wide application prospects, and improving adaptability

Active Publication Date: 2019-08-27
沈阳图为科技有限公司
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AI Technical Summary

Problems solved by technology

In terms of attitude tracking, Xiu Yuliang et al. designed an optimized network that establishes inter-frame relationships and forms attitude flows, and proposes a non-maximum suppression of attitude flows to reduce redundant attitude flows and re-establish temporally disjoint attitudes. The idea of ​​contact, this method has high tracking accuracy, but the problems of drift, occlusion and scale change in the long-term target tracking process have not been well solved

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  • Invigilator tracking method based on postures
  • Invigilator tracking method based on postures
  • Invigilator tracking method based on postures

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0032] Such as figure 1 As shown, a posture-based invigilator tracking method, the process is as follows figure 1 As shown, it mainly includes the following three stages:

[0033] Phase 1: Initialize Tracking Target

[0034] 1. Obtain the position information (X, Y) of 18 joint points (X, Y) and the corresponding confidence score of all frame owners in the video through the Openpose model;

[0035] 2. Traversing all relevant nodes in the current frame, for any neck point in the current frame (x i ,y i ) and candidate position (x s ,y s ) to calculate the Euclidean distance:

[0036]

[0...

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Abstract

The invention discloses an invigilator tracking method based on postures, which comprises the following steps: determining the positions of different persons by analyzing the relation between joint points of the upper body part of a human body, obtaining the positions of invigilators by using human body joint point data generated by deep learning, extracting the characteristics of the invigilators, and matching front and rear frames of targets according to the characteristic similarity. The method comprises the following steps that a tracking target is initialized, joint point information of all persons is counted, and invigilators are detected; matching a tracking target, carrying out similarity comparison on the characteristics proposed by the two frames of invigilators, and determiningthe tracking target if the similarity is maximum; and self-adaptive tracking: timely processing the situations of target loss, target wrong tracking and the like, and quickly and accurately finding alost target. By the adoption of the method, the position of the invigilator in the examination room can be accurately obtained, and reference is provided for subsequent action recognition of the invigilator.

Description

technical field [0001] The invention belongs to the technical field of object tracking based on computer vision and video comprehension, and more specifically, the invention relates to a posture-based invigilator tracking method. Background technique [0002] At present, after various examinations such as college entrance examination, postgraduate examination, self-examination and academic level test, a large amount of manpower is required to watch the examination video to analyze the examination style problems in the examination, such as inaction of the invigilator. When there are too many detection points, the staff is prone to visual fatigue, resulting in many false positives and missed negatives, and difficult video retrieval. The increase in personnel will cause a serious waste of human resources. Therefore, a big data analysis system for examination video or The method can automatically analyze the behavior of candidates and invigilators, and then analyze the problems ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246
CPCG06T2207/10016G06T2207/30196G06T7/246
Inventor 石祥滨刘芳张德园杨啸宇毕静武卫东李照奎刘翠微代钦代海龙王俊远王佳李浩文
Owner 沈阳图为科技有限公司
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