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Dynamical information fusion of heterogeneous sensors for 3D tracking using particle swarm optimization
2011
Information Fusion
This paper presents a new method for three dimensional object tracking by fusing information from stereo vision and stereo audio. From the audio data, directional information about an object is extracted by the Generalized Cross Correlation (GCC) and the object's position in the video data is detected using the Continuously Adaptive Mean shift (CAMshift) method. The obtained localization estimates combined with confidence measurements are then fused to track an object utilizing Particle Swarm
doi:10.1016/j.inffus.2010.06.005
fatcat:ner24igpmjealgza7aowhgyv4m