Present tracking technology is mainly used solely based on sound or visual sensor.However

audio positioning possess characteristic of poor accuracy and covering a wide range and visual tracking has high positioning precision and limited by video angle.So it is difficult to obtain ideal tracking results in complex environment.To solve this problem

a new method for detecting and tracking object in 3D space using audio and video fused information is proposed.A simple tracking system with two microphones and stereo vision is introduced.The localization estimation provided by these two systems are fused using an improved particle swarm optimization（PSO）TRIBES algorithm.The experiments show that

compared with the traditional method

this new technology can achieve faster and more accurate tracking performance.