Video image processing method, device and monitoring equipment
A technology of video image and processing method, which is applied in the field of video image processing method, device and monitoring equipment, which can solve problems such as costing a lot of manpower and material resources, failure to recover user items, and user economic loss, so as to reduce the consumption of manpower and material resources , Improve user experience, and ensure the effect of personal and property safety
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Image
Examples
example 1
[0078] Example 1, through digital image recognition technology;
[0079] In the specific implementation, the video image collected by the monitoring equipment can be obtained first, and then the video image can be preprocessed to obtain the characteristic data, and the above characteristic data can be input into the corresponding identification model for identification, so as to determine the surveillance image in the video image. Target.
[0080] Wherein, performing preprocessing on the video image refers to performing processing such as binarization, color inversion, and image conversion on the video image. The recognition model is obtained through continuous training based on feature data.
[0081] It can be understood that when training the recognition model, the more feature data used, the higher the accuracy of the obtained recognition model.
example 2
[0082] Example 2, the recognition method based on a single frame;
[0083] Specifically, the acquired video image is truncated, and then deep learning is performed based on the image granularity (single frame), so as to determine the monitoring target in the video image.
example 3
[0084] Example 3, an identification method based on a convolutional neural network (Convolutional Neural Network, CNN for short) extended network, etc., which is not limited in this embodiment.
[0085] It should be noted that, by performing image recognition on the video image, the determined monitoring target may be a static object in the video image, or may be a moving object in the video image. For example, vehicles driving on the road, or pedestrians walking, etc.
[0086] If the monitoring target is an object in a moving state, then in this embodiment, the monitoring target can also be determined by optical flow method, inter-frame difference method, background difference method and the like.
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