Dear Author, that is a really good paper. I was wondering what changes would be required to detect gestures in the real-time video? Also, would it work on low-quality webcam cameras as your algorithm recognizes gestures in bad illumination?
The principle of real-time video detection and face recognition is similar, both of which are feature extraction after image preprocessing, each frame of the video is obtained, and each frame of the image is processed. In addition, there is an anti-jitter mechanism.The obtained image is properly processed so that its features can be clearly displayed in the image. The main operations include: light compensation, image grayscale, Gaussian smoothing, image contrast enhancement, equalization histogram, etc.When the light is insufficient, the gesture is difficult, and speech recognition needs to be used to supplement the deficiency. Therefore, the method of using the mixed recognition of gesture and speech is reliable. Of course, in the actual application of school physical examination, there is basically no problem that the light is so poor that the detection is difficult, but there are more noises.
