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Lecture Notes in Computer Science
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging results in this direction rely on learning context models or the availability of training data. However, this may not be feasible in many application scenarios. Moreover, tracking methods should be able to work across different scenarios (e.g. multiple resolutions of the video) making such context models hard to obtain. Indoi:10.1007/978-3-642-15549-9_44 fatcat:42ttwf2scbgujor37p7dykm7vy