Object localisation and tracking with contour likelihoods
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.
KeywordsMarkov Chain Monte Carlo Target Object Minimum Mean Square Error Object Localisation Visual Tracking
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