An Automatic Detecting System Based on Sound Detection and Image Analysis

Different methods of automatic detecting are challenging problems in many fields. Most of them are simply based on detection of image or sound, and have some limitations caused by the camerapsilas field of view or the frequency of the sound. Our system is based on sound detection and image analysis of objectpsilas motion. Sound detection adopts an algorithm of hyperbolic locating according to signalpsilas time difference which is sensed by a comparator from two microphones. Image analysis integrates two methods into the system which are based on motion and complexion matching. The proposed system utilizes both sound and image for signal processing, so it can work without serious deterioration performance in case of low resolution. Experiments on sound detection and image analysis are presented and the results are discussed. The design of the system will be applied well in intelligence systems.