The invention discloses an indoor human body detection tracking and
identity recognition system based on multiple sensors, and the
system completes the preliminary positioning of a
human body through a pyroelectric
infrared sensor, and a camera is enabled to move to a range where the
human body appears through a steering
machine. The
system collects the image information of the range through the camera, and transmits the image information to the computer. The computer completes the related calculation related with the human body detection, and controls the steering
machine to drive the camera and a moving platform to track the human body. The computer enables the collected image information to be matched with
background information, so as to determine the identity of a detected person. The system is mainly used for detecting whether there is a person invading an indoor environment or not, and helping an indoor
mobile service robot determine a target person in service. The system mainly controls a camera steering
machine holder through the pyroelectric
infrared sensor so as to enable the camera steering machine holder to rotate to the range of human activity, and detect and track the human body through visual information. After the human body is detected, the system carries out the
identity recognition through
Adaboost and a
principal component analysis method.