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Early-stage drowning behavior detection method based on videos

A motion detection and behavior technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems that the monitoring accuracy is easily interfered by other objects, and the maintenance cost is high, so as to achieve low system implementation cost and good adaptability , Good effect of robustness

Inactive Publication Date: 2012-07-04
ZHEJIANG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the system also has many disadvantages. For example, the system can only detect the drowning person who has already drowned in the late stage. At this time, the life of the drowning person is already in danger. Not only the maintenance cost is high, but also the accuracy of monitoring is easily disturbed by other objects

Method used

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  • Early-stage drowning behavior detection method based on videos
  • Early-stage drowning behavior detection method based on videos
  • Early-stage drowning behavior detection method based on videos

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Embodiment Construction

[0031] Such as figure 1 As shown, the implementation steps of the video-based early drowning behavior action detection method in the embodiment of the present invention are as follows:

[0032] 1) Define the swimming characteristic parameters based on the swimmer's action behavior, and calculate the swimming characteristic parameters through the data fusion method to obtain a plurality of state parameters describing the swimmer's behavior;

[0033] 2) Obtain the video image sequence of normal swimming behavior and the video image sequence of imitating swimming and drowning behavior through the camera installed above the water surface in advance, and extract the swimmers in the video image sequence respectively; according to the video image sequence of normal swimming behavior and imitating swimming and drowning The video image sequence of the behavior and a plurality of state parameters describing the behavior of the swimmer are respectively used to establish the hidden Markov...

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Abstract

The invention discloses an early-stage drowning behavior detection method based on videos, which includes the following steps: 1 defining swimming characteristic parameters and obtaining a plurality of state parameters for describing swimmer behaviors with a data integration method; 2 obtaining video image sequence of normal swimming behaviors and imitating swimming drowning behaviors in advance, respectively collecting swimmers and respectively establishing and calculating hidden Markov models of swimmers to obtain drowning behavior state sequence and normal behavior state sequence; 3 acquiring video image sequence in real time and collecting swimmers; and 4 establishing and calculating the hidden Markov model of each swimmer to obtain current behavior state sequence, and judging whether a swimmer drowning behavior exists or not according to current behavior state sequence, drowning behavior state sequence and normal behavior state sequence. If the swimmer drowning behavior exists, an alarm is given out. The early-stage drowning behavior detection method based on videos has the advantages of being accurate and reliable in detection, good in robustness, high in noise immunity and good in adaptability to illumination changes.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a detection and recognition algorithm for monitoring public swimming places through a camera and detecting the behavior of a drowning person in the early stage of a drowning event that may occur in a swimming pool. Background technique [0002] Swimming pool is the basic construction facility of every city and the main place for people's leisure and entertainment. However, according to a data display, drowning death is the leading cause of accidental death among young people in my country. Many drowning incidents occur in public swimming places. Even if there are professional lifeguards supervising, but because the drowning person cannot be found in time, the death incident occurs. Therefore, it is of great practical significance to develop a video system that can automatically detect and detect drowning events, and find drowning people in time to save lives. [0003] Research o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/64
CPCG06K9/00771G06K9/00342G06V40/23G06V20/52
Inventor 周泓陈益如冯蓉程添
Owner ZHEJIANG UNIV
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