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In this paper, we propose a general purpose video-based tracking system that is robust to occlusion. The system is tracking moving objects that are represented by connected regions of pixels that are tracked over the video frames. The proposed tracking system design is based on recent ideas and results on robust set-valued state estimation for uncertain control systems.
A set-valued descriptor state estimation algorithm is given for determining all those descriptor state values consistent with a given uncertain descriptor system model, sensor model and a general class of uncertainty model. An approach for detecting faults or attacks signals that are corrupting the uncertain descriptor system and/or the set of sensor readings is also provided.
State estimation in critical networked infrastructure such as the transportation and electricity (smart grid) networks is becoming increasingly important. Consequently, the security of state estimation algorithms has been identified as an important design factor in order to safeguard critical infrastructure. In this paper we study false-data attacks on robust state estimation in multi-sensor-based...
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