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Target location and tracking have been an important fundamental technology in wireless sensor networks. Distance irrelevant location algorithm is one of the most popular methods in target location application. This kind of algorithm mostly locates the target by getting the target approximate area and calculating its centroid. Because of the large calculating quantity and bad real-time capability of...
Target localization is one of the most important and fundamental issues in wireless sensor networks (WSNs). Because of its special topology structure, grid-based wireless sensor networks have a great advantage in target localization. In this paper, firstly, we analyze the uncertain area founded by the topology structure of single-level grid-deployed networks. A double-level grid-based localization...
Focusing on the unreliable sensing phenomenon in wireless sensor networks and its impact on target-tracking accuracy, this paper first analyzes the uncertain area and its boundaries. Then the monitor area can be divided into faces by these uncertain boundaries and each face has an identical signature vector. On the other hand, for each target localization, any pair-wise nodes' RSS is ordinal or flipped...
Compared to the traditional tracking with fixed cameras, the PTZ-camera-based tracking is more challenging due to (i) lacking of reliable background modeling and subtraction; (ii) the appearance and scale of target changing suddenly and drastically. Tackling these problems, this paper proposes a novel tracking algorithm using patch-based object models and demonstrates its advantages with the PTZ-camera...
A camera can assist a robot to detect and track objects when it is used in a scout robot system, and hence, help the robot to navigate. This paper discusses problems of tracking a human face where an active camera is installed on a 2 DOF pan and tilt. Kinematics model between object in motion and image of camera is built. The face detection and tracking algorithm is introduced which uses complexion...
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