The Person location tracker is the detector for tracking the human location on the video image using the neural network, which allows reducing the computational load and improving the detection quality. The Person location tracker allows detecting the human pose and generating the corresponding event.

You can create the following objects on the basis of the person location tracker:

1. Handrail grip detection.
2. Shooter detection.
3. Pose-based people counter.
4. Pose detection that includes the following detectors:
   • Sitting person detection—the detector generates an event when a sitting person is found in the frame.
   • Recumbent person detection—the detector generates an event when a recumbent person is found in the frame.
   • Hands-up detection—the detector generates an event when a person with one or two hands raised is found in the frame. The hand is considered raised if a forearm is parallel to the backbone.
   • Person detection—the detector generates an event when any pose of a person is found in the frame.
   • Close-standing people detection—the detector generates an event if people are at a close distance in the frame.