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Method for identifying abnormal human behaviors in power production based on block model

A recognition method and technology for power production, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as increased computational complexity, sensitivity to duration changes and noise, and low computational complexity

Inactive Publication Date: 2013-04-03
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

The advantage of the template matching method is that the computational complexity is low, and the disadvantage is that it is sensitive to duration changes and noise; the state-space method solves the problem of motion duration very well, but the computational complexity suddenly rises

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  • Method for identifying abnormal human behaviors in power production based on block model
  • Method for identifying abnormal human behaviors in power production based on block model
  • Method for identifying abnormal human behaviors in power production based on block model

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Embodiment Construction

[0086] In order to deepen the understanding of the present invention, the present invention will be described in further detail below in conjunction with examples, which are only used in the present invention and do not constitute a regulation to the protection scope of the present invention.

[0087] The present invention defines boxing, falling, taking off safety helmet, opening an umbrella, and taking off work clothes as abnormal behaviors of a single person and classifies and recognizes them. Walking and other undefined behaviors are classified as non-abnormal behaviors. When normal behavior is identified as abnormal, abnormal behavior is not recognized as a misjudgment.

[0088] Collect several sample videos of a single person falling, walking, boxing, taking off a hat, holding an umbrella, and undressing; process each video separately through the motion foreground extraction method based on spatio-temporal information described above, and save the obtained foreground huma...

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Abstract

The invention relates to a method for identifying abnormal human behaviors in power production based on a block model and belongs to the technical field of power safety production control methods. The method includes motion prospect extraction based on time domain and space domain information; elimination of potential shadows; object identification based on dimension invariant features; and abnormal human behavior identification in the power production based on a block. An enclosing rectangular density J, the rectangular density for short, refers to the proportion of a human object to a minimum enclosing rectangle, when a human body stands normally, the J is larger; and when the human body performs substantial abnormal behaviors, the J is smaller. If the J declines suddenly for a period, the human body is performing abnormal behaviors. According to the method, features are extracted through specific behaviors to identify human body specific behaviors, and accordingly, abnormal behaviors are discovered, violation of regulations is restrained, accidents are prevented, and the method has positive and great significance in the power production under the control of modern computers.

Description

technical field [0001] The invention relates to a method for identifying abnormal human behavior in electric power production based on a block model, in particular to a method for identifying abnormal human behavior that interacts with objects in electric power production, and belongs to the technical field of electric power safety production control methods. Background technique [0002] At present, the application of computer vision is becoming more and more extensive, and behavior recognition has gradually become a research hotspot. For the existing methods, there are two commonly used methods based on template matching and state space method. The advantage of the template matching method is that the computational complexity is low, and the disadvantage is that it is sensitive to duration changes and noise; the state-space method solves the problem of motion duration very well, but the computational complexity suddenly rises. Choosing an appropriate compromise method is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06T7/20
Inventor 魏振华董书元宋士波林洁张乐黎学森任李懋徐彦杰郭立燕闫晓元乔建强
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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