Visual compiler-based person and pose detection method

A posture detection and compiler technology, applied in the field of human posture detection

Inactive Publication Date: 2017-06-27
SHENZHEN WEITESHI TECH
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Problems solved by technology

[0004] Aiming at the problem that lighting, occlusion, etc. will have an impact, the purpose of the present invention is to provide a visual compiler-based character and posture detection method, first use the scene description as the input of the visual compiler, and use the calibrated rea

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  • Visual compiler-based person and pose detection method
  • Visual compiler-based person and pose detection method
  • Visual compiler-based person and pose detection method

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Embodiment Construction

[0041]It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0042] figure 1 It is a system flowchart of a person and posture detection method based on a visual compiler of the present invention. It mainly includes data synthesis for scene description, learning network through synthetic data, using basic blocks to define network, and pose network (PoseNet) joint positioning.

[0043] Data synthesis of scene descriptions requires high-quality calibrated real data annotations to train pedestrian detection systems and pose estimation systems; without complex manual manual labeling process, the visual compiler uses scene descriptions to simulate the appearance of pedestrians applicable to each area of ​​the scene , which can be extended to a large n...

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Abstract

The invention provides a visual compiler-based person and pose detection method. The method mainly comprises the steps of performing data synthesis of scene description; learning a net through synthesized data; defining the net by adopting basic blocks; and performing joint locating by using a pose net. According to the process, the scene description is used as an input of a visual compiler, a pedestrian detection system and a pose estimation system are trained by calibrated real data annotations, and the net is learnt through the synthesized data; then the net is defined by using two basic units including a residual module and a spatial belief module; and finally pedestrians are located by using the pose net. According to the method, the detected annotations, body part positions and segmented mask codes can be automatically obtained, the pedestrians are located by using a video camera, and the pedestrians are subjected to pose estimation and activity analysis; and the influence of illumination, shielding and the like on the detection is reduced, so that the identification efficiency is effectively improved.

Description

technical field [0001] The invention relates to the field of person posture detection, in particular to a method for person and posture detection based on a visual compiler. Background technique [0002] The detection of human motion and posture has become a research hotspot in the field of computer vision due to its wide application in video surveillance, virtual reality, and interpersonal intelligent interaction. It can be used for intelligent surveillance in public places and monitoring of dangerous postures in crowds. Although the research on human body posture detection in China has made important progress in recent years, the high complexity and variability of human body posture make the accuracy and efficiency of recognition not fully meet the requirements of related industries. Different lighting, viewing angles, and background conditions will cause differences in human behavior in posture and characteristics. In addition, human body self-occlusion, partial occlusion...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/103G06N3/045
Inventor 夏春秋
Owner SHENZHEN WEITESHI TECH
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