Targeted surveillance system for highly maneuverable objects using fuzzy Kalman filter

In this paper, we describe a novel design for a real-time localization system capable of tracking a highly maneuverable target within a 360 degree range of the camera. The target is defined for surveillance. The approach to tracking includes using a controllable camera which is re-oriented according to the tracked location of the target object. Fuzzy logic is used to determine the direction of motion after using a Kalman filter for tracking. Fuzzy Kaiman is thus used for wide area robust tracking for efficient tracking with occlusion handling.