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Human body height estimation method based on characteristic inflexions

A technology of human body height and inflection point, applied in the field of computer vision, to achieve the effect of low cost, high precision, and low algorithm time complexity

Active Publication Date: 2017-08-25
SOUTHEAST UNIV
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Problems solved by technology

[0004] Purpose of the invention: To solve the above-mentioned problems in the prior art, a human body height estimation method based on characteristic inflection points is proposed, which can solve the difficult problem of positioning caused by occlusion under the premise of low cost and low computing performance requirements, and improve positioning precision

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  • Human body height estimation method based on characteristic inflexions
  • Human body height estimation method based on characteristic inflexions
  • Human body height estimation method based on characteristic inflexions

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Embodiment Construction

[0031] Below in conjunction with embodiment the present invention will be further described.

[0032] Such as figure 1 As shown, the two types of characteristic inflection points P1 and P2 in the present invention are respectively located between the head and one shoulder. P1 reflects the trend of the contour first going to the right and then upward, and P2 reflects the trend of the contour going downward and then to the right. Define the head-to-body ratio as h 1 / h 2 , h 1 is the distance from the top of the head to the shoulder, h 2 is the distance from the top of the head to the feet.

[0033] Such as figure 2 As shown, the human body height estimation method based on the feature inflection point in the present invention processes the video data at each moment, including the following steps:

[0034] (1) Carry out motion detection to the video frame to obtain the foreground target area T of moving pedestrians;

[0035] (2) Perform feature inflection point detection...

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Abstract

The invention discloses a human body height estimation method based on characteristic inflexions, and mainly solves the problems of high complexity of traditional binocular vision and resulting failure to meet the real-time requirement. The method includes the steps of firstly, performing motion detection for a video frame to obtain a motion pedestrian foreground; then, performing characteristic inflexion detection on a foreground region to obtain head and shoulder characteristic inflexions; next, performing segmentation to obtain the pedestrian head according to the inflexions and calculating the current head to body ratio; comparing the head to body ratio of the current frame with a head to body ratio model value; and determining whether occlusion occurs, if not, updating the head to body ratio model value, and if so, completing the human body height estimation with the head to body ratio model value and the head height. The method of the invention completes the human body height estimation through human body head to body ratio characteristics and obtains positions of pedestrian feet, has the advantages of low cost and low algorithm time complexity, and can be used for intelligent monitoring and visual positioning systems and so forth.

Description

[0001] Field [0002] The invention belongs to the technical field of computer vision, and in particular relates to a human body height estimation method based on characteristic inflection points, which can be used in intelligent transportation systems, intelligent monitoring systems and visual positioning systems. Background technique [0003] With the development and application of computer vision, indoor pedestrian visual positioning technology has emerged rapidly and received widespread attention. Under monocular vision, the foreground of moving pedestrians can be obtained through motion detection, and the internal parameters of the camera and the parameters outside the ground plane where the calibration board is located can be obtained through camera calibration. According to the results of the first two parts, pedestrian positioning can be completed. Since monocular vision cannot obtain depth information, the mainstream monocular positioning method is to detect and locat...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/11
Inventor 戚隆宁黄海飞李罩羚王健许贺郑凯
Owner SOUTHEAST UNIV
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