Bone point detection method and device, processing equipment and storage medium

A detection method and bone point technology, applied in the field of image processing, can solve problems such as weak computing power, demanding power consumption, and inability to be directly transplanted

Active Publication Date: 2019-04-26
BEIJING KUANGSHI TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the rapid development of mobile terminals such as mobile phones, the demand for skeleton point detection on the mobile terminal is also increasing. Compared with the computer terminal, the computing power of

Method used

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  • Bone point detection method and device, processing equipment and storage medium
  • Bone point detection method and device, processing equipment and storage medium
  • Bone point detection method and device, processing equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0030] First, refer to figure 1 The processing device 100 for implementing the embodiments of the present invention will be described, and the processing device can be used to run the methods of the various embodiments of the present invention.

[0031] like figure 1 As shown, the processing device 100 includes one or more processors 102, one or more memories 104, an input device 106, an output device 108, and a data collector 110, and these components are connected through a bus system 112 and / or other forms ( not shown) interconnection. It should be noted that figure 1The components and structure of the processing device 100 shown are only exemplary, not limiting, and the processing device may also have other components and structures as required.

[0032] The processor 102 may be implemented in at least one hardware form of a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic array (PLA) and an ASIC (Application Specific Integrat...

Embodiment 2

[0039] The skeleton point detection method provided in this embodiment adopts the scheme of every frame, see figure 2 Schematic diagram of the image sequence shown, where the light color is the detection frame, and the dark N frames in the middle are the tracking frames. By controlling the value of N, the balance point between power consumption and effect can be controlled, and the larger N is, the lower the power consumption will be. In this scheme, the skeleton point detection results of the detection frame (which can contain 9 or 11 feature points, including the head, hands, etc.) are obtained through the neural network.

[0040] see image 3 A skeleton point detection method shown is applied to a mobile terminal, and the method can be executed by the processing device provided in the foregoing embodiment, and the method specifically includes the following steps:

[0041] Step S302, acquiring an image sequence of the object. The image sequence includes consecutive multi...

Embodiment 3

[0086] For the skeleton point detection method provided in Embodiment 2, the embodiment of the present invention provides a skeleton point detection device, which is applied to a mobile terminal, see Figure 4 A structural block diagram of a bone point detection device shown, including:

[0087] An acquisition module 402, configured to acquire an image sequence of an object to be detected, where the image sequence includes continuous multi-frame images;

[0088] The frame interval detection module 404 is used to determine the detection frame from the image sequence according to the preset frame interval, and the image frame between two adjacent detection frames is a tracking frame;

[0089] Skeleton point detection module 406, for obtaining the skeleton point detection result of detection frame;

[0090] Skeleton point tracking module 408, for obtaining the bone point tracking result of each tracking frame through optical flow calculation based on the bone point detection res...

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Abstract

The invention provides a skeleton point detection method and device, processing equipment and a storage medium, and relates to the technical field of skeleton point detection, the method comprises thefollowing steps: obtaining an image sequence of a to-be-detected object, the image sequence comprising continuous multi-frame images; Determining detection frames from the image sequence according toa preset frame interval, wherein the image frame between two adjacent detection frames is a tracking frame; Obtaining a skeleton point detection result of the detection frame; Based on the skeleton point detection result, obtaining a skeleton point tracking result of each tracking frame through optical flow calculation; And determining a final detection result according to the skeleton point detection result and the skeleton point tracking result. According to the embodiment of the invention, an inter-frame detection mode is adopted, power consumption is reduced, the positioning precision ofskeleton points is ensured, and the jamming or delay feeling generated when a skeleton point positioning result is applied is reduced.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a skeleton point detection method, device, processing equipment and storage medium. Background technique [0002] In recent years, there have been more and more application scenarios for skeletal point detection, such as somatosensory games, VR (Virtual Reality, virtual reality) human body matting display, and so on. Initially, human bone point detection was mainly applied on the computer side, such as pedestrian monitoring system, Xbox Kinect, etc. The computer side has powerful hardware, which is enough to meet the computing power and real-time requirements required for bone point detection. With the rapid development of mobile terminals such as mobile phones, the demand for skeleton point detection on the mobile terminal is also increasing. Compared with the computer terminal, the computing power of the mobile terminal is weak and the power consumption require...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/246
CPCG06T7/0012G06T2207/30008G06T7/246
Inventor 刘思遥
Owner BEIJING KUANGSHI TECH
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