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Gesture identification method and apparatus

A gesture recognition and gesture technology, applied in the field of image processing, to achieve the effect of robust recognition

Inactive Publication Date: 2017-02-01
RICOH KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional method of simply using template matching or rule judgment to recognize static gestures cannot improve the accuracy of recognition while reducing false alarm errors

Method used

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  • Gesture identification method and apparatus
  • Gesture identification method and apparatus

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Embodiment Construction

[0027] In order to enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] It will be described in the following order:

[0029] 1. Overview of invention ideas

[0030] 2. Embodiment

[0031] 2.1. Gesture recognition method

[0032] 2.2. Optimization of the classifier

[0033] 2.3. Application example of gesture recognition method

[0034] 2.4. Gesture recognition device

[0035] 2.5. Gesture recognition system

[0036] 3. Summary

[0037]

[0038] As mentioned above, it is desired to reduce the possibility of false alarm errors while improving the recognition accuracy during gesture recognition, that is, try to avoid recognizing invalid gestures as valid.

[0039] In gesture recognition, machine learning and classification techniques can be seen as a probabilistic extension of template matching, which mai...

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PUM

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Abstract

The invention provides a gesture identification method and apparatus. An input image of a target scene comprising a hand portion is obtained, an image of the hand portion is extracted from the input image, a to-be-identified gesture classification result is obtained by classifying the image of the hand portion by use of a classifier, a rule feature is extracted from the image of the hand portion, and a gesture identification result is obtained by applying the rule feature to the to-be-identified gesture classification result. In such a way, weak classifier and strong rule determination technologies are integrated, the classifier is not directly applied to final identification of various gestures, and the various different gestures are further distinguished by applying a strong rule to the to-be-identified gesture classification result of the classifier, such that advantages of the rule feature and a classifier feature complement each other, while the gesture identification accuracy is improved, the possibility of misjudgement is reduced, and robust identification of static gestures is realized.

Description

technical field [0001] The present invention relates to the field of image processing, and more particularly, to static gesture recognition. Background technique [0002] Gestures have been widely used in various human-computer interaction systems, such as interactive projection, interactive display, gesture-controlled TV, and so on. Gestures provide everyone with an intuitive, natural and friendly way of interaction that is more familiar to humans. Gestures can generally be divided into two categories, dynamic gestures and static gestures. A dynamic gesture is a sequence of different hand poses or a changing trajectory of the hand position, while a static gesture is a gesture of the hand, that is, indicating that the hand maintains the same similar gesture for a short period of time. [0003] Unlike dynamic gestures, static gestures can only be distinguished by the shape information of the hands. Template matching is a widely used method in static gesture recognition, wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06K9/66
CPCG06V40/117G06V40/113G06V30/194G06V30/2528G06F18/285G06F18/2413G06F18/214
Inventor 熊怀欣
Owner RICOH KK
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