Motion recognition method and device and electronic equipment

Abstract

The invention provides an action recognition method and device and electronic equipment, and relates to the technical field of image processing, and the method comprises the steps: obtaining a plurality of images containing a target object and optical flow images of the plurality of images if the target object is detected from a video frame; extracting an object trajectory feature of the target object from the plurality of images, and extracting an optical flow trajectory feature of the target object from the optical flow images of the plurality of images; and identifying the action type of the target object according to the object trajectory feature and the optical flow trajectory feature. According to the embodiment of the invention, the action type of the target object is identified according to the track information of the target object in the video frame and the optical flow information of the target object in the optical flow image of the image, and the time feature information and the space feature information of the target object are fused, so that the detection and identification precision of the action type is effectively improved, the detection efficiency can be considered, and the overall detection performance is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an action recognition method, device and electronic equipment. Background technique [0002] The task of video action detection is to find out the clips that may have actions from the video, and classify the behavior to which the action belongs. With the popularization of camera equipment at home and abroad, higher requirements are put forward for real-time online video motion detection. At present, the mainstream online video action detection method mostly uses three-dimensional convolutional network, which has a large amount of calculation, resulting in high detection delay; and another video action detection method using two-dimensional convolutional network, which has a faster calculation speed but less accuracy. lower. [0003] Overall, the current online video action detection methods cannot take into account the detection accuracy and detection efficienc...

AI Technical Summary

Problems solved by technology

At present, the mainstream online video action detection method mostly uses three-dimensional convolutional network, which has a large amount of calculation, resulting in high detection delay; and another video action detection method using two-dimensional convolutional network, which has a faster calculation speed but less accuracy. lower

[0003] Overall, the current online video motion detection methods cannot take into account both detection accuracy and detection efficiency, and the overall performance is poor

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