Gesture detection method and device
A gesture detection and equipment technology, applied in instruments, character and pattern recognition, computer parts and other directions, can solve the problems of high false alarm rate and low gesture detection accuracy, achieve low false alarm rate, reduce hardware and sample quantity requirements, the effect of high accuracy
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Embodiment 1
[0053] This application proposes a gesture detection method. figure 1 is the flow chart of the gesture detection method of the present application, such as figure 1 As shown, the gesture detection method of the present application includes the following steps:
[0054] Step S1, perform histogram equalization preprocessing on the input image, and set the size of the input image.
[0055] Optionally, the size of the input image is set to W*H, and the size units of the images here and the images mentioned below are pixels. Where W and H stand for length and width respectively, and their sizes only need to conform to the common image aspect ratio in this field, and the definition of length and width below also follows this rule.
[0056] Step S2, extract different features of the input image, and use the strong classifier in the classifier model to judge until the entire input image is scanned.
[0057] specifically, figure 2 is the flow chart of step S2 scanning the input imag...
Embodiment 2
[0089] The present application also proposes a gesture detection device, which implements the gesture detection method described in the first embodiment. Figure 5 is a structural block diagram of the gesture detection device of the present application, such as Figure 5 As shown, gesture detection devices include:
[0090] a receiver 51, configured to receive an input image;
[0091] controller 52, Figure 6 is a structural block diagram of the controller 52 of the gesture detection device of the present application. Such as Figure 6 As shown, the controller 52 includes the following components:
[0092] The input module 521 is used to perform histogram equalization preprocessing on the input image, and set the size of the input image;
[0093] The classification module 522 is used to extract different features of the input image, and use the strong classifier in the classifier model to judge until the entire input image is scanned;
[0094] The scanning module 523 is ...
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