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Issue No.03 - March (2014 vol.36)
pp: 620-621
Ido Leichter , Microsoft R&D Center, Adv. Technol. Labs. Israel, Haifa, Israel
Michael Lindenbaum , Comput. Sci. Dept., Technion - Israel Inst. of Technol., Haifa, Israel
Ehud Rivlin , Comput. Sci. Dept., Technion - Israel Inst. of Technol., Haifa, Israel
ABSTRACT
A methodology for integrating multiple cues for tracking was proposed in several papers. These papers claim that, unlike other methodologies, conditional independence of the cues is not assumed. This brief communication 1) refutes this claim and 2) points out other major problems in the methodology.
INDEX TERMS
Robustness, Equations, Mathematical model, Approximation methods, Bayesian methods, Copper, Atmospheric measurements,multiple cue integration, Bayesian tracking
CITATION
Ido Leichter, Michael Lindenbaum, Ehud Rivlin, "The Cues in "Dependent Multiple Cue Integration for Robust Tracking" Are Independent", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.36, no. 3, pp. 620-621, March 2014, doi:10.1109/TPAMI.2010.170
REFERENCES
[1] F. Moreno-Noguer, A. Sanfeliu, and D. Samaras, "Dependent Multiple Cue Integration for Robust Tracking," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 4, pp. 670-685, Apr. 2008.
[2] F. Moreno-Noguer, A. Sanfeliu, and D. Samaras, "Integration of Dependent Bayesian Filters for Robust Tracking," Proc. IEEE Int'l Conf. Robotices and Automation (ICRA), pp. 4081-4087, 2006.
[3] F. Moreno-Noguer, A. Sanfeliu, and D. Samaras, "Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation," Proc. IEEE Int'l Conf. Computer Vision (ICCV), vol. 2, pp. 1713-1720, 2005.
[4] F. Moreno-Noguer and A. Sanfeliu, "A Framework to Integrate Particle Filters for Robust Tracking in Non-Stationary Environments," Proc. Iberian Comf. Pattern Recognition and Image Intelligence (IbPRIA), pp. 93-101, 2005.
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