Tracking Atoms with Particles for Audio-Visual Source Localization

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 select...

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Bibliographic Details
Main Authors: Monaci, G., Vandergheynst, P., Maggio, E., Cavallaro, A.
Format: Conference Proceeding
Language:English
Subjects:
audio-visual processing
Computational complexity
Dictionaries
Feature extraction
Inference algorithms
Matching pursuit algorithms
Particle tracking
Signal processing algorithms
Signal representations
Target tracking
tracking
Video sequences
Video signal processing
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Description
Summary: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 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 audio-visual source localization.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2007.366345