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We present a general framework and an efficient algorithm for tracking relevant video structures. The structures to be tracked are implicitly defined by a Matching Pursuit procedure that extracts and ranks the most important image contours. Based on the ranking, the contours are automatically selected to initialize a Particle Filtering tracker. The proposed algorithm deals with salient video entities whose behavior has an intuitive meaning, related to the physics of the signal. Moreover, as thedoi:10.1109/icassp.2007.366345 dblp:conf/icassp/MonaciVMC07 fatcat:wmliapwi4fe3jiqro3mhvkujbm