title: Robust control-based object tracking.
abstract: This correspondence presents a video tracking framework using control-based observer design. It unifies several kernel-based approaches into a consistent theoretical framework by modeling tracking as a recursive inverse problem. The framework relies on observability theory to handle the "singularity" problem and provides explicit criteria for kernel design and dynamics evaluation.
authors.forename: Wei
authors.initials: W
authors.lastname: Qu
authors.forename: Dan
authors.initials: D
authors.lastname: Schonfeld
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D005246:Feedback; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014741:Video Recording / Q000379:methods*