2013 Asilomar Conference on Signals, Systems and Computers 2013
DOI: 10.1109/acssc.2013.6810686
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Feature-aided initiation and tracking via tree search

Abstract: We present a feature-aided approach to multipletarget tracking built upon tree-search tracking algorithms. Using a search tree to represent the target state space, the tracker navigates the tree to identify the most likely sequence of states visited by the target(s). The search for new targets and for new states of existing targets is governed by path metrics that are proportional to the posterior state distribution and incorporate the likelihood of observed feature values. Features may be assumed to follow a … Show more

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“…Third, the memory and computational power in the low-cost sensor network are limited. There are existing classification methods such as fast Fourier transform (FFT) [ 13 , 14 ] and feature-aided tracking [ 15 17 ] in order to extract feature points from raw data. These need heavy computational load and large memory, which are intractable for low-cost sensor nodes without additional digital signal co-processors.…”
Section: Introductionmentioning
confidence: 99%
“…Third, the memory and computational power in the low-cost sensor network are limited. There are existing classification methods such as fast Fourier transform (FFT) [ 13 , 14 ] and feature-aided tracking [ 15 17 ] in order to extract feature points from raw data. These need heavy computational load and large memory, which are intractable for low-cost sensor nodes without additional digital signal co-processors.…”
Section: Introductionmentioning
confidence: 99%