You may also leave feedback directly on GitHub. You also need to stop and close the device. The final step is to shut down the body tracker and release the body tracking object. Refer to access data in body frame for detailed explanation of data in a body frame. Your first body tracking application only accesses the number of detected bodies. Refer to get body tracking results for a detailed explanation of the other patterns.Įach body frame contains three key components: a collection of body structs, a 2D body index map, and the input capture. Your first body tracking application uses the real-time processing pattern. The timeout value is dependent on the application and controls the queueing wait time. The tracker internally maintains an input queue and an output queue to asynchronously process the Azure Kinect DK captures more efficiently. You can find more information on retrieving image data on this page. The first step in getting body tracking results is to create a body tracker. You can find more information on finding and opening the device on this page. To use body tracking, you first need to open and configure the device. Body tracking uses a single header, k4abt. This quickstart will get you up and running with body tracking! You can find more examples in this Azure-Kinect-Sample repo.
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