Method and device for detecting motion
A motion detection and motion technology, used in image data processing, television, instruments, etc., can solve the problems of image delay, high codec performance requirements, and high equipment cost, and achieve the effect of reducing complexity
Active Publication Date: 2011-06-08
ZHEJIANG UNIVIEW TECH CO LTD
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Problems solved by technology
[0005] The algorithm is complex, the amount of calculation is large, and the processing capability of the terminal is high. Under the existing hardware technology conditions, the equipment cost is high and it is not easy to promote; at the same time, due to the complex calculation, the post-processing of each frame of image takes a lot of time, especially in At present, when the performance of high-definition video codec is stretched, it will cause image delay, high performance requirements for codec, and difficult technical implementation
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[0065] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0066] figure 1 Flow chart of the motion detection method provided by the present invention, such as figure 1 As shown, the specific steps are as follows:
[0067] Step 100: Preset the location of the ROI.
[0068] The location of the region of interest can vary with changes in conditions of interest and the like.
[0069] Step 101: Receive the current frame image, divide the ROI of the current frame image into macroblocks, and divide each macroblock into more than one sub-macroblocks.
[0070] Step 102: For the current macroblock, according to a preset selection rule, select some sub-macroblocks in the current macroblock, and divide each sub-macroblock into more than one pixel block with a preset number of pixels as a unit.
[0071] Step 103: For each selected sub-macroblock, make a difference between the value of each pixel bloc...
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The invention discloses a method and a device for detecting motion. The method comprises the following steps: A, carrying out macro block division on an area of interest of a current frame image, dividing each macro block into more than one sub-macro block; B, regarding the current macro block, selecting partial sub-macro block in all sub-macro blocks of the macro block; regarding each selected sub-macro block, calculating the difference value of each pixel block value in the sub-macro block and the pixel block value in a background model, and summarizing difference values corresponding to all the pixel blocks to obtain a motion identification value of the current sub-macro block; summarizing the motion identification value of each selected sub-macro block to obtain a motion identification value of the current macro block; C, determining whether the motion identification value of the current macro block is more than a default value or not, if so, determining the current macro block isa motion macro block to update the boundary of a current moving object by using the boundary of the current macro block; if not, determining the current macro block is a background macro block. The method reduces complexity of motion detection, and ensures the reliability of the motion detection.
Description
technical field [0001] The invention relates to the technical field of video surveillance, in particular to a motion detection method and device. Background technique [0002] At present, video surveillance technology is more and more widely used. With the continuous progress of image processing technology and video-related equipment, people have higher and higher requirements for intelligent monitoring equipment, which is not only satisfied with ordinary passive monitoring. For specific monitoring places, such as banks, parking lots, entrances and exits of units, security inspection departments, etc., it is usually necessary to detect moving objects in the scene. [0003] The Gaussian function density estimation method is usually used to model the collected original image, and for each pixel or macroblock of each frame of image transmitted, the foreground and background are distinguished by calculating its matching degree with the model, and then the moving object is detect...
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IPC IPC(8): H04N7/26G06T7/20H04N19/176H04N19/57
Inventor 黄攀朱旭东
Owner ZHEJIANG UNIVIEW TECH CO LTD