Method for identifying ecological flow discharge through video
A technology for ecological traffic and video recognition, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as time-consuming, large difference in feature points, heavy workload, etc., to solve difficult to obtain and acquire The effect of long cycle, saving training labor costs, and guaranteeing availability
Active Publication Date: 2022-05-13
HANGZHOU DINGCHUAN INFORMATION TECH CO LTD
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However, due to the wide variety of rural small hydropower ecological flow discharges, and there are many points and feature points with large differences, it is impossible to train a unified model. This method usually trains the model in a single point scene, with a large workload and difficulty in obtaining data sets. Time consuming, poor versatility
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[0065] The present invention will be described in further detail below in conjunction with the embodiments and drawings, but the embodiments of the present invention are not limited thereto.
[0066] The basic principle of the present invention is to use the camera to obtain the scene video of the ecological flow, and use the main algorithm to realize the identification of whether the ecological flow is released or not by setting parameters. For a small number of special cases, it is identified by re-calibrating parameters and sub-models. The sub-models learn to mark release features through sample learning, and the sub-models are obtained through convolutional neural network training. Through the combination of the main algorithm and the sub-model as the auxiliary, the identification of all ecological flow discharge states is realized. This method has strong general ability, the main algorithm can be used without training, saves a lot of time for data collection, labeling, an...
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The invention discloses a method for identifying ecological flow discharge through a video. The method comprises the following steps: extracting a section of ecological flow discharge video, performing frame extraction on the video to obtain n images, further comparing the images of the front and back frames to obtain a difference index of the front and back frames, and judging whether continuous moving water flow exists in the video according to the difference index so as to judge whether ecological flow discharge exists. The main algorithm is high in universality, precision and robustness, a fuzzy verification function is added, and the abnormal conditions of shadow, dam overflow, water mist, sunlight irradiation and video packet loss can be well eliminated. For a small number of special and inapplicable scenes, such as weed interference and water ripple interference, convolutional neural network training can be adopted to obtain a sub-model, and ecological flow discharge identification is performed through the sub-model. The two recognition methods of the main algorithm and the sub-model are combined to recognize whether the ecological flow is discharged or not, the recognition universality and usability are guaranteed, and the precision of the recognition result is also guaranteed.
Description
technical field [0001] The invention relates to the technical field of video recognition and hydraulic ecological flow release, in particular to a method for video recognition of ecological flow release. Background technique [0002] Ecological flow refers to the water flow required to maintain the ecological environment in the water flow area. Generally, there is a minimum ecological flow requirement when constructing a hydropower station, which is the minimum water flow to maintain the ecological balance of downstream organisms. Therefore, the supervision and early warning of the release of ecological flow has become particularly important. [0003] Video recognition is a technology based on image recognition. It obtains n images by sampling frames from the video, and processes, analyzes and compares the images of the front and rear frames to identify various targets and objects in different modes. [0004] At present, ecological flow monitoring usually uses methods such ...
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Login to View More IPC IPC(8): G06V20/40G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 廖佳庆邱志章胡琳琳陈洪飞蒋元中
Owner HANGZHOU DINGCHUAN INFORMATION TECH CO LTD