This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The Cues in "Dependent Multiple Cue Integration for Robust Tracking" Are Independent
March 2014 (vol. 36 no. 3)
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
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 and Machine Intelligence, vol. 36, no. 3, pp. 620-621, March 2014, doi:10.1109/TPAMI.2010.170
Usage of this product signifies your acceptance of the Terms of Use.