Tracking Atoms with Particles for Audio-Visual Source Localization

Gianluca Monaci, Pierre Vandergheynst, Emilio Maggio, Andrea Cavallaro
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
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 the
more » ... interactions between such structures are easily defined, the inference of higher level signal configurations can be made intuitive. The proposed algorithm improves the performance of existing video structures trackers, while reducing the computational complexity. The algorithm is demonstrated on audiovisual source localization.
doi:10.1109/icassp.2007.366345 dblp:conf/icassp/MonaciVMC07 fatcat:wmliapwi4fe3jiqro3mhvkujbm