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Image processing method and device

An image processing, image technology, applied in the field of data processing, can solve the problem of inability to accurately identify the video behavior category and so on

Active Publication Date: 2019-10-29
DEEPBLUE TECH SHANGHAI CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides an image processing method and device to solve the technical problem that the prior art cannot accurately identify the behavior category of the video

Method used

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  • Image processing method and device

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Embodiment Construction

[0036]In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] figure 1 A schematic flowchart corresponding to an image processing method provided by an embodiment of the present invention, the method includes:

[0038] Step 101, acquire the video to be processed.

[0039] Among them, the video to be processed may include a complete behavioral event, or may only include a segment of a behavioral event; a behavioral event may refer to an event with a small range of motion and a large number o...

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Abstract

The embodiment of the invention discloses an image processing method and device, and the method comprises the steps: obtaining a to-be-processed video, intercepting a plurality of to-be-processed images from the to-be-processed video, inputting the plurality of to-be-processed images and the time sequence information of the plurality of to-be-processed images into a preset model, and determining the behavior types of the to-be-processed video; wherein the preset model comprises residual networks of a plurality of mapping relationships. In the embodiment of the invention, the behavior categoryof the to-be-processed video is synchronously determined by using the image information and the time sequence information, and the image feature information and the time feature information of the behavior event are fully considered, so that the relative behavior (such as door closing and door opening) can be effectively judged. Moreover, the preset model is constructed through the residual network based on the plurality of mapping relationships, so that the diversity of training samples can be improved, the over-fast convergence of the preset model can be avoided, and the precision of the preset model is improved.

Description

technical field [0001] The invention relates to the field of data processing, in particular to an image processing method and device. Background technique [0002] Video understanding is currently a very popular research direction in the field of computer vision. By accurately analyzing the user's behavior category from the video, the user's behavior state can be well judged. For example, after collecting the driving video of the vehicle on a one-way street, by analyzing the driving video to determine the vehicle's driving direction, driving speed and other behavior information, it can accurately determine whether the user is in a state of illegal driving. [0003] At this stage, deep neural network models can be used as an effective tool for video understanding. In an existing implementation, after obtaining the video to be processed, the video can be cut according to the preset frame rate to obtain the stacked optical flow frame, and then the stacked optical flow frame an...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/41
Inventor 陈海波
Owner DEEPBLUE TECH SHANGHAI CO LTD
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