Moving target detection method, device, medium and computing device
A moving target and detection method technology, applied in the field of image processing, can solve problems such as unsatisfactory effects
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Embodiment 1
[0026] refer to figure 1 , which is a schematic flow chart of the moving target detection method provided in Embodiment 1 of the present application, the method includes the following steps:
[0027] Step 101: extract the grayscale feature, direction feature, optical flow feature of the current frame image and the inter-frame difference feature of the current frame image in the specified image set, wherein the specified image set is an image composed of consecutive frame images containing the current frame image gather.
[0028] Wherein, in one embodiment, grayscale features, direction features, optical flow features and inter-frame difference features can be extracted according to the following methods:
[0029] (1) Grayscale features:
[0030] Assuming that the red, green and blue channels of the current frame image are r(t), g(t), and b(t) respectively; then the grayscale feature of the image can be expressed as shown in formula (1):
[0031] I(t)=(r(t)+g(t)+b(t)) / 3 (1) ...
Embodiment 2
[0102] Based on the same inventive concept, the embodiment of the present application also provides a moving object detection device. The principle and beneficial effects of the device are similar to those described in the above method embodiments, and will not be repeated here.
[0103] Such as figure 2 Shown is a schematic structural diagram of the device, including:
[0104] The feature extraction module 201 is used to extract the grayscale feature, direction feature, optical flow feature of the current frame image and the inter-frame difference feature of the current frame image in the specified image set, wherein the specified image set is a continuous frame containing the current frame image An image collection composed of images;
[0105] A feature weight acquisition module 202, configured to acquire various corresponding weights of grayscale features, directional features, optical flow features, and inter-frame difference features;
[0106] The feature fusion module...
Embodiment 3
[0138] Embodiment 3 of the present application also provides a computing device, which may specifically be a desktop computer, a portable computer, a smart phone, a tablet computer, a personal digital assistant (Personal Digital Assistant, PDA), and the like. Such as image 3 As shown, the computing device may include a central processing unit (Center Processing Unit, CPU) 301, a memory 302, an input device 303, an output device 304, etc., the input device may include a keyboard, mouse, touch screen, etc., and the output device may include a display device, Such as liquid crystal display (Liquid Crystal Display, LCD), cathode ray tube (Cathode Ray Tube, CRT) and so on.
[0139] The memory may include read only memory (ROM) and random access memory (RAM), and provides the processor with program instructions and data stored in the memory. In the embodiment of the present application, the memory may be used to store program instructions of the moving object detection method.
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