Human indoor location for binary infrared sensor tracking system: On improved credit and dynamic pruning algorithm

This paper presents a human indoor location design on improved credit and dynamic pruning algorithm in passive binary pyroelectric infrared (PIR) sensor tracking system. Compared with previous credit location and anti-logic location, the improved credit method can keep all effective measurement points of different human targets without extra logical judgment. It is more intuitive and less complex than the way of anti-logic with same accuracy. The dynamic pruning algorithm can separate different targets into different two-dimensional planes to reduce the number of measurement points and assign effective measurement points to correct targets according to the predicted position of targets. Multiple human location is then transformed into single human location. A small and flexible PIR sensor system is used to test the improved location algorithm in multiple human tracking. The simulation and experimental results indicate the algorithm works well.