Systems and methods that use pattern recognition to characterize stimuli captured by passive infrared motion sensors are provided. The pattern recognition can be performed by comparing one or more features extracted from motion sensor data to known features. This provides enhanced pet rejection that exceeds performance of conventional threshold based pet rejecting PIR systems. In some embodiments, the known features can be obtained through simulations that accurately model the performance of motion sensors and their response to a large variety of stimuli. The simulations result in an extensive database that can be accessed by motion sensor units when performing pattern matching algorithms to determine whether the stimulus is a human or a pet.
PASSIVE INFRARED SYSTEMS AND METHODS THAT USE PATTERN RECOGNITION TO DISTINGUISH BETWEEN HUMAN OCCUPANTS AND PETS