Object localisation and tracking with contour likelihoods

  • John MacCormick
Part of the Distinguished Dissertations book series (DISTDISS)


Recall the main objective of the book: to infer the configurations of target objects in static scenes and in video sequences. The previous chapter introduced likelihood functions called contour likelihoods which can be used for such inferences. This chapter explains how to incorporate the contour likelihoods into algorithms for localisation and tracking. First, however, we pause to survey other approaches to localisation tasks.


Markov Chain Monte Carlo Target Object Minimum Mean Square Error Object Localisation Visual Tracking 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 2002

Authors and Affiliations

  • John MacCormick
    • 1
  1. 1.Systems Research CenterCompaq Computer CorporationPalo AltoUSA

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