Object locomotion mode identification method and device based on depth image sequence

A depth image and motion pattern technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of inappropriate gesture recognition, affect shape accuracy, blur depth map, etc., and achieve effective motion or action recognition. Effect

Active Publication Date: 2013-07-17
RICOH KK
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Problems solved by technology

Because motion can cause blurring of the depth map, thereby affecting the accuracy of the shape,

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  • Object locomotion mode identification method and device based on depth image sequence
  • Object locomotion mode identification method and device based on depth image sequence
  • Object locomotion mode identification method and device based on depth image sequence

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Embodiment Construction

[0025] Embodiments of the present invention are described below in conjunction with the accompanying drawings.

[0026] figure 1 It is a schematic diagram exemplarily showing the application environment of the object motion pattern recognition method and device based on the depth image sequence according to the embodiment of the present invention.

[0027] refer to figure 1 , the embodiment of the present invention can be applied to human-computer interaction. The person and his gesture 10 are captured by the depth camera 11 and sent to the computer system 12 for recognition and control. The final recognition and response can be displayed on a local or remote screen. Wherein, the depth camera 11 may be an infrared camera capable of acquiring a depth image of a scene. The computer system 12 can be a personal computer (PC) or any other computer with data processing capabilities, a server or a digital signal processor (DSP), etc. For the depth image sequence acquired and import...

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Abstract

Provided is an object locomotion mode identification method based on a depth image sequence. The method comprises a foreground determining step of determining a foreground object area in every depth image frame; a difference step of calculating difference between depth values of every pixel in every depth image frame and depth values of neighborhood pixels of the pixel so as to obtain difference vectors of the neighborhood depth values; a quantization coding step of determining an area of interest according to the foreground object area and enabling the difference vectors of the neighborhood depth values of every pixel in the area of interest to undergo quantization coding to become neighborhood depth value differential codes; an area division step of dividing the area of interest into a plurality of subareas; a distribution description step of obtaining neighborhood depth value differential code distribution characteristic vectors of the subareas; and an identification step of identifying a locomotion mode of an object corresponding to the area of interest according to combination of the neighborhood depth value differential code distribution characteristic vectors. An object locomotion mode identification device based on the depth image sequence is further provided correspondingly.

Description

technical field [0001] The invention relates to an object motion pattern recognition method based on a depth image sequence and an object motion pattern recognition device based on a depth image sequence. Background technique [0002] With the development of computer vision, image processing, and human-computer interaction technology, there are more and more technical requirements for vision-based human-computer interaction systems, such as interactive projectors, interactive displays, interactive electronic whiteboards, and somatosensory game consoles. More urgently, in these application areas, not only the recognition of objects in images is often required, but also the recognition of object motion patterns. In this regard, certain progress has been made in related technical fields. [0003] Patent Document 1 (US 7,274,800 B2) proposes a technique of using a depth disparity map generated by a stereo camera and performing gesture recognition based on the depth disparity ma...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00
Inventor 章鹏李滔熊怀欣
Owner RICOH KK
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