Human body fall behavior detection system and detection method based on multiple cameras

A multi-camera and human body detection technology, which is applied to computer parts, instruments, character and pattern recognition, etc., can solve problems such as missing detection, achieve the effect of improving computing speed and reducing detection difficulty

Active Publication Date: 2018-02-02
HOHAI UNIV
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Problems solved by technology

[0005] A video surveillance system based on a single visual sensor, due to the occlu

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  • Human body fall behavior detection system and detection method based on multiple cameras
  • Human body fall behavior detection system and detection method based on multiple cameras
  • Human body fall behavior detection system and detection method based on multiple cameras

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0042] A multi-camera-based human fall behavior detection system of the present invention includes a multi-camera video signal acquisition module, a human body detection and recognition module, a feature extraction module, a fall behavior detection module and an alarm module;

[0043] The multi-camera video signal acquisition module records surveillance video from different angles through multiple cameras scattered and erected at different locations on the surveillance site, and outputs video image frames to the human body detection and recognition module;

[0044] The human body detection and identification module detects the moving target on each video image frame, and recognizes the human bod...

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Abstract

The present invention discloses a human body fall behavior detection method based on multiple cameras. The method comprises the steps of monitoring video acquisition based on multiple cameras, movinghuman body detection and classification, contour depth map and centroid motion rate feature extraction, fall detection based on support vector machine combined classifier and the detection result fusion of multiple cameras. When a system detects a human body fall behavior, an alarm signal is emitted to a monitoring terminal immediately. The multiple-camera fusion monitoring is adopted, the intelligent home nursing of the elderly living alone is realized, false detection and missed detection caused by blocking can be avoided, the detection accuracy is high, and an algorithm has real-time performance.

Description

technical field [0001] The invention relates to the technical field of intelligent video monitoring and computer vision, in particular to a human body fall behavior detection method based on a multi-camera intelligent video monitoring system, and also to a detection system based on the detection method. Background technique [0002] At present, our country has entered an aging society. At the same time, due to the development of social economy, the increasingly obvious phenomenon of population flow, and the miniaturization of family structure, the proportion of empty nesters living alone is constantly increasing. The safety care of the elderly is a problem that both the family and the society are paying close attention to; among them, falls are the main cause of injury to the elderly. [0003] According to the sensors used, the commonly used human fall behavior detection technologies can be divided into three categories: human fall detection based on wearable sensors, human ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/23G06V20/52G06F18/2411G06F18/25
Inventor 钱惠敏丁彬周军
Owner HOHAI UNIV
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