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Method and device for detecting human hands based on action sequential characteristics

A detection method and feature detection technology, applied in the field of visual detection, can solve the problem of high false detection rate, achieve the effects of avoiding interference, easy construction and maintenance, and improving information utilization.

Active Publication Date: 2018-06-05
哈尔滨拓讯科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the problem of high false detection rate in complex scenes and similar target interference, the present invention proposes a human hand detection method based on motion sequence features, which is suitable for human hand detection in monocular video signals or image sequences

Method used

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  • Method and device for detecting human hands based on action sequential characteristics
  • Method and device for detecting human hands based on action sequential characteristics
  • Method and device for detecting human hands based on action sequential characteristics

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Embodiment 1

[0073] This embodiment proposes a human hand detection method based on motion timing features. The method first performs single-frame detection on each frame of a monocular video signal or image sequence to obtain a candidate target, and then compares the single-frame detection result with the adjacent frame detection The results are compared and analyzed, and the timing features of each candidate target are extracted, that is, the feature states under different frames within the selected time period, and matched with the preset action timing features. If the matching results are inconsistent, it is regarded as a false detection, and then the target is screened. ROI (Region of Interest, region of interest), and finally perform human hand detection again in the target ROI to obtain the actual hand position.

[0074] In order to describe the detection process in detail, the "grabbing" action of the human hand is used as the preset action below, that is, after the candidate target...

Embodiment 2

[0127] This embodiment proposes a human hand detection device based on motion sequence characteristics. The device is used to implement the method proposed in Embodiment 1 for human hand detection, and can output digital signals to provide input for subsequent systems according to actual application requirements. The detection device includes four modules: main controller, data acquisition, data processing and data output, and the connection mode of the modules is as follows: Figure 8 shown. The device includes a main controller 1, a data acquisition module 2, a data processing module 3 and a data output module 4; the data acquisition signal interaction end of the main controller 1 is connected to the signal interaction end of the data acquisition module 2; The data transmission signal interaction end of the main controller 1 is connected with the signal interaction end of the data output module 4; the data output end of the data acquisition module 2 is connected with the dat...

Embodiment 3

[0131]In this embodiment, the main controller, the data processing module and the data output module are integrated into the embedded platform. As shown in the system structure in FIG. It is transmitted to the embedded platform through the data line. The main controller invokes the data acquisition module to monitor user actions, and invokes the data processing module for manual detection and analysis, and finally uses the data output module to output the detection results. The whole device is taken as an independent whole, and the data output module transmits the detection result to the external device through the 2.4GHz wireless signal after modulation.

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Abstract

The invention provides a method and a device for detecting human hands based on action sequential characteristics and belongs to the technical field of visual inspection. According to the method, based on traditional human hand detection, the detection accuracy is improved by detecting the sequential characteristics of specific action sequence of the human hands. The method has the advantages thatthe problem of higher false detection rate in complex scenes and existence of the interference of similar targets is solved; the method is suitable for detecting the human hands in monocular video signal or image sequence.

Description

technical field [0001] The invention relates to a human hand detection method and device based on motion sequence features, and belongs to the technical field of visual detection. Background technique [0002] With the rapid development of machine vision technology, gesture control based on machine vision has become an important research direction in human-computer interaction, and accurate and fast human hand detection is one of the core technologies to realize gesture control. [0003] At present, the hand detection methods based on machine vision can be divided into three categories: based on physical hand marks, based on monocular two-dimensional images and based on depth images. [0004] The detection method based on the physical mark of the hand relies on wearable devices with special color and shape marks, such as gloves, wristbands, etc., to directly determine the position of the human hand through the detection of the physical mark of the device, or to further impro...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32
CPCG06V40/107G06V20/46G06V10/25
Inventor 孙晅张建峰冯大志杜国铭金钊
Owner 哈尔滨拓讯科技有限公司
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