Conference camera automatic tracking system based on Kinect skeleton tracking algorithm
An automatic tracking and bone tracking technology, applied in the direction of use feedback control, can solve the problem that the accuracy of the camera lens cannot be guaranteed, and achieve the effects of improving efficiency and flexibility, ensuring safety performance, and improving reliability and accuracy
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Embodiment 1
[0037] Such as Figure 1-Figure 2 Shown, the conference camera automatic tracking system based on the Kinect skeleton tracking algorithm of the present invention comprises:
[0038] The Kinect sensor collects the pose information of the human skeleton of the tracked object through the built-in camera on the Kinect, and obtains the three-dimensional model data and image data of the human skeleton through processing by the processor in the Kinect sensor;
[0039] The information processing module is used to receive the 3D model data and image data of the human skeleton and compare them with the stored database, and perform motion analysis on the 3D model data to obtain tracking information;
[0040] The transmission module is used to receive and transmit tracking information, and the wireless module is used to wirelessly transmit and receive tracking information;
[0041] The controller (AVR single-chip microcomputer) is used to issue motion instructions after receiving trackin...
Embodiment 2
[0063] There is an infrared transmitter on the Kinect sensor, but it cannot directly provide the original infrared data. It needs to process the data through the background monitoring computer to obtain the depth data of the shooting object. The depth data is obtained from the depth image, so the depth data before processing , the depth image of the object to be photographed must be obtained first.
[0064] For depth image processing, the threshold method is adopted. It is often used for image segmentation in deep image processing. According to some features on the image (such as pixel grayscale, target texture, and color on the image), the required part is taken as the extraction object, and the required part is extracted from the surrounding background environment. The feature of the image is expressed by the gray level of the pixel, the image pixel required by the tracked object is expressed as 1, and the gray level of the background pixel is expressed as 0, and T is the th...
Embodiment 3
[0073] A tracking device based on a Kinect skeleton tracking algorithm for a conference camera automatic tracking system, comprising: one or more processors, adapted to execute each program; storage device, used to store one or more programs, the program is suitable for processing The device is loaded and executed to realize the tracking method of the conference camera automatic tracking system based on the Kinect skeleton tracking algorithm.
[0074] Among them, there is VS2010 on the background monitoring computer, the compiled program is running, and the human skeleton tracking MFC interface is displayed. When receiving the human skeleton node data from the Kinect sensor, it is detected that the tracked object raised his right hand (assuming this test is the right hand) , the background monitoring computer receives the trigger signal from the right hand and sends the character "C" to the camera. After the camera receives the character "C", the camera rotates to track the pos...
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