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Flag signal identification method and apparatus based on depth image

A recognition method and depth image technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of semaphore recognition, such as large impact, low accuracy, and poor real-time performance, and achieve good real-time performance, low use cost, and The effect of low hardware cost

Active Publication Date: 2015-08-12
PLA UNIV OF SCI & TECH
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Problems solved by technology

[0004] In short, the problems existing in the existing technology are: the semaphore recognition is greatly affected by environmental factors, the real-time performance is poor, and the accuracy rate is low

Method used

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  • Flag signal identification method and apparatus based on depth image
  • Flag signal identification method and apparatus based on depth image
  • Flag signal identification method and apparatus based on depth image

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Embodiment Construction

[0025] Such as figure 1 As shown, the semaphore recognition method based on the depth image of the present invention comprises the following steps:

[0026] (10) Human skeleton feature extraction: According to the depth image of human body movements, the human body and the background are segmented, the human body area is gradually refined, and the human skeleton line is extracted.

[0027] Described (10) human skeleton feature extraction step comprises:

[0028] (11) Image segmentation: In the depth map, use the direct threshold segmentation method to segment the human body area and the background;

[0029] (12) Skeleton extraction: Through corrosion operation and opening operation, the image boundary is gradually reduced inwards, and finally the skeleton effect is formed, as follows,

[0030] thin 1 = X ⊗ { B 1 } - - - ...

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Abstract

The invention discloses a flag signal identification method and apparatus based on a depth image. The method comprises the following steps: (10), according to a human body motion depth image, segmenting a human body from a background, gradually refining a human body area, and extracting a human body skeleton line; (20), based on an articulation point space relation human body model, describing a human body arm motion by use of the human body skeleton line; (30), according to an arm different space position and motion locus composed of three components including an upper arm, a forearm and a wrist, defining an arm gesture mode; and (40), through matching between the arm gesture mode and a predefined motion mode in a flag sign database, taking a predefined motion most similar to the arm gesture mode as a flag sign corresponding to the human body motion. The apparatus comprises a human body skeleton feature extraction unit, a human body motion describing unit, an arm gesture mode defining unit and a flag sign identification unit. The method and apparatus provided by the invention is less affected by environment factors and is good in real-time performance and high in identification rate.

Description

technical field [0001] The invention belongs to the technical field of semaphore recognition, in particular to a method and device for semaphore recognition based on depth images, which are less affected by environmental factors, have good real-time performance and high recognition rate. Background technique [0002] As a special way of information transmission, semaphore is widely used in the military field. For example, semaphore (or gesture) is required for command and guidance in the operation process of gate bridge water crossing, aircraft towing, and aircraft carrier aircraft take-off and landing. At present, the role and status of simulation training in military training is becoming more and more important, and the research on simulation training related technologies has also attracted more and more attention. For military simulation training subjects related to semaphore command, it is necessary to recognize the semaphore through the computer, so that the system can ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/23G06V40/28
Inventor 芮挺方虎生刘凡周遊杨成松朱经纬廖明马光彦
Owner PLA UNIV OF SCI & TECH
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