Behavior and identity joint recognition method based on human skeleton sequence
A technology combining human skeleton and identity, applied in the field of computer vision, can solve problems such as inability to recognize identity information and behavior actions, and achieve the effect of improving prediction accuracy
Active Publication Date: 2018-11-06
INST OF AUTOMATION CHINESE ACAD OF SCI
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[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the technical problem that identity information and behavior actions cannot be recognized at the same time in the recognition of human body skeleton data
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[0034] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.
[0035] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.
[0036] See attached figure 1 , figure 1 It exemplifies the main steps of a joint recognition of behavior and identity based on human skeleton sequences in this embodiment. The joint identification method of behavior and identity based on human skeleton sequence comprises the following steps:
[0037] Step 1, obtain the human skeleton sequence of the human body...
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The invention relates to the field of visual recognition and provides a behavior and identity joint recognition method based on a human skeleton sequence to solve the problem that the identity information and the behavioral motions cannot be simultaneously recognized in human data recognition. The method comprises: acquiring a human skeleton sequence of a human to be recognized; and recognizing the identity information and the behavioral motions of the human by using a pre-constructed recognition model according to the human skeleton sequence, wherein the training method of the recognition model comprises transforming the coordinates of the human skeleton sequence for training into a reference coordinate system to obtain a reference skeleton sequence; comparing the coordinates of each joint node of each reference skeleton of the reference skeleton sequence with the coordinates of a pre-specified center point to obtain the relative coordinates of each joint node of each reference skeleton; performing three-dimensional coordinate transformation on the reference skeleton sequence, and training the initial recognition model to obtain an optimized recognition model. The method can quickly and accurately recognize the identity information and behavioral motions of the human from the human skeleton sequence.
Description
technical field [0001] The present invention relates to the field of computer vision technology, in particular to the field of vision based on deep learning, and in particular to a method and device for joint recognition of behavior and identity based on human skeleton sequences. Background technique [0002] With the development of computer graphics and vision technology and the development of human-computer interaction technology, it is becoming more and more important to timely and accurately display the detected or monitored behaviors and identity information of characters. Behavior recognition and identity recognition have applications in areas such as automatic driving, human-computer interaction, smart cities, intelligent transportation, and intelligent monitoring. [0003] With the development of depth cameras (such as Kinect) and high-precision and high-efficiency human pose estimation algorithms in recent years, behavior recognition based on human skeleton sequence...
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IPC IPC(8): G06K9/00G06N3/04
CPCG06N3/049G06V40/10G06N3/045
Inventor 王亮王洪松
Owner INST OF AUTOMATION CHINESE ACAD OF SCI