Human Localization With Multi-Camera Using Detection And Tracking Object

Object location determination in a room is a system which can determine the position of an object or person in a physical room. Localization systems which have been built using wireless sensor networks such as RFID, GPS, or Cellular networks are considered less effective. Hence, the present camera usage system as low-cost position determination will be developed. This system consists of two processes which are single-camera processing and multi-camera processing. In single-camera processing, we present object detection using Multi-Scale Spectral Residual (MSR) preprocessing to obtain camera position and best enviroment condition which will be used in multi-camera processing. In multi-camera processing, the object location detection result in the single camera will be combined and tracked in the room floor plan. From the experiment, the result is that human localization efficiency in room is 87.07% in average with minimum error accuracy is 0.02 meter and maximum error accuracy is 2.2 meter.