Drowning early warning method based on optical vision analysis

Abstract

The invention provides a drowning early warning method based on optical vision analysis. The method comprises the following steps: firstly, performing the preprocessing of denoising, enhancement and removal of uneven illumination on an image by means of median filtering, histogram equalization and homomorphic filtering; secondly, detecting and tracking swimmers simultaneously with an immune genetic algorithm to obtain position and motion track information of the swimmers; and finally, extracting behavioral characteristics of time sequence information of the swimmers through an LSTM (Long ShortTerm Memory) network, and analyzing the characteristics through a Softmax layer to obtain the drowning probability of the swimmers and give a drowning judgment. Through adoption of the method provided by the invention, intelligent visual perception of the swimmers in a swimming pool can be realized; an early warning is given about the drowning state through understanding and analysis of motion behaviors; the position information of a drowning person is given quickly and accurately; and the rescue work of lifeguards is assisted.

Description

technical field [0001] The invention belongs to the technical fields of computer vision and graphic processing, and in particular relates to a drowning early warning method based on optical vision analysis. Background technique [0002] Along with the development of society and the raising of people's living standard, the sports of this whole body exercise of swimming are more and more subject to people's welcome. However, because it is carried out in water, beginners often cause choking and even drowning accidents because they cannot breathe freely and move freely. In addition, swimmers may experience muscle spasms, collisions, and physical exhaustion in the water, all of which may lead to drowning events. Once a drowning incident occurs, it will be directly related to the life safety of swimmers. According to the report of the World Health Organization: Drowning has become the third leading cause of unintentional injury death all over the world, and the number of drowning...

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned methods of utilizing detection devices such as sonar have many disadvantages: 1) because most monitoring devices such as sonar sense through the air contained in the human body, if the drowning person's body is full of water, the signal obtained will be low. 2) The sonar method needs to generate sonar pulses at a voltage of several hundred volts, and the relevant safety regulations, there must be no application voltage higher than 12 or 24 volts near the swimming pool water, which is obviously within the scope of safety regulations The internal voltage cannot meet the needs of sonar equipment; 3) The processing scenarios are very limited

However, in the early systems based on visual analysis, the camera was located at the bottom of the pool, and whether the swimmer was drowning was judged by judging whether the swimmer was at the bottom of the pool for a certain period of time. Save time. In addition, when there are too many swimmers, mutual occlusion between swimmers will inevitably occur, making it difficult for the camera at the bottom of the pool to obtain sufficient visual information.

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