A pedestrian target tracking method based on human skeleton structured features

A human skeleton and pedestrian target technology, applied in the field of computer vision, can solve the problems of poor target tracking performance, difficult target repositioning, insufficient stability, etc. The effect of scene suitability

Active Publication Date: 2019-06-28
GUANGDONG INST OF INTELLIGENT MFG
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Problems solved by technology

However, the current tracking technology is not stable enough in complex environments such as occlusion and viewing angle changes, and it is prone t

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  • A pedestrian target tracking method based on human skeleton structured features
  • A pedestrian target tracking method based on human skeleton structured features
  • A pedestrian target tracking method based on human skeleton structured features

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[0044] In order to further understand the features, technical means, and specific objectives and functions achieved by the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] as attached Figure 1-7 As shown, the present invention discloses a pedestrian target tracking method based on the structural features of the human skeleton, comprising the following steps:

[0046] S1, use the camera to record the target motion video, and use the CLAHE algorithm to perform equalization preprocessing on the target motion video image to increase the image quality. It can improve the applicability of the CLAHE algorithm in changing and complex outdoor lighting environments; the key point information of pedestrian skeletons can be extracted through human skeleton detection. extraction power and accuracy.

[0047] S2, for the target motion video image, extract the skeleton coordin...

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Abstract

A pedestrian target tracking method based on human skeleton structured features comprises the following steps: recording a target motion video, performing equalization preprocessing on a target motionvideo image, extracting skeleton coordinate information of a pedestrian, manually selecting and tracking the target pedestrian, establishing a target initial feature template image, and tracking thetarget pedestrian; if the target pedestrian is normal, continuing tracking, and if the target pedestrian is lost, executing the next step; extracting a target structured feature image according to thevideo image before the target pedestrian is lost and the skeleton coordinate information of the target pedestrian, updating the target feature template image, extracting structured feature images ofall pedestrians, matching the structured feature images with the target feature template image one by one, and repositioning the position of the target pedestrian according to a matching result; realizing target tracking continuously. The method can achieve the stable and continuous tracking of the target pedestrian in a complex multi-person scene, and solves the problem that a current tracking algorithm is easy to lose a tracking target under the conditions of multi-person overlapping, shielding and the like, and is difficult to automatically find the tracking target.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a pedestrian target tracking method based on the structural features of human skeletons. Background technique [0002] With the continuous development of artificial intelligence technology, target tracking has become one of the important research topics in the field of computer vision, widely used in human-computer interaction, military, medical, transportation and other fields, and has far-reaching significance for social development. Target tracking is the process of locating and detecting the state and position of a moving target by using target feature information or background difference frame separation. Trajectory positioning and prediction technology to achieve the purpose of tracking. With the continuous research and development of tracking algorithms, from traditional tracking algorithms such as Meanshift, Kalman filter, and particle filter used before 2010 to TLD, Struc...

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Application Information

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IPC IPC(8): G06T7/246G06K9/00G06K9/46G06K9/62
Inventor 钟震宇马敬奇雷欢杨慧莉
Owner GUANGDONG INST OF INTELLIGENT MFG
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