Method for motion pattern classification and action recognition of moving target

A moving object and action recognition technology, applied in the field of image processing, can solve the problems of unable to promote the classification of motion patterns and extraction, and achieve the effect of broad market prospects and application value

Active Publication Date: 2012-09-12
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, this method can only extract human features for action recognition, but cannot extract features of cars or other rigid bodies.
Therefore, the method cannot be generalized to motion pattern classification

Method used

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  • Method for motion pattern classification and action recognition of moving target
  • Method for motion pattern classification and action recognition of moving target

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Embodiment Construction

[0036] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. This embodiment is carried out on the premise of the technical solution of the present invention, and the detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0037] The method of the present invention based on the motion pattern recognition or action recognition of the optical flow direction sequence moving target comprises the following steps:

[0038] (1) Extract the trajectory of the moving target:

[0039] There are two cases of rigid body and non-rigid body to consider here. Since the rigid body has no deformation, it can be considered as a whole, while the relative position of each part of the non-rigid body will change due to deformation, so it i...

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Abstract

The invention provides a method for processing motion pattern recognition and action recognition of a moving target based on a light stream direction sequence. The method comprises the following steps of: detecting the target by using background subtraction, tracking the target by using mean shift tracking algorithm, calculating a light flow value, respectively acquiring light stream directions of a rigid body and a non-rigid body, acquiring time series of the light stream directions after quantization, then building a Hidden Markov Model by using the time series, and finally processing the motion pattern recognition and the action recognition by using the Hidden Markov Model. The method provided by the invention can simutaneously process the motion pattern recognition and the action recognition of the moving target through the light stream directions, and can be widely applied to various civil or military systems such as a video monitoring system, a video conference system, an industrial product testing system, a robot visual navigation system, a military target testing classification system, thus having broad market prospect and application value.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for classification of motion patterns and action recognition of moving objects based on optical flow sequences. Background technique [0002] Motion pattern and action recognition are research hotspots in the field of computer vision and pattern recognition. Accurate classification of motion patterns of moving objects in video images and recognition of human actions have broad application prospects in both civilian and military applications. Aiming at these two problems, scholars at home and abroad have proposed many methods, the main methods are summarized as follows. [0003] There are two main methods of traditional motion pattern classification. [0004] The first is the trajectory-based method, which tracks the target to obtain the trajectory, and then clusters the trajectory. The disadvantage of this type of method is that the target must be accurately ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 胡士强王勇
Owner SHANGHAI JIAO TONG UNIV
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