Detecting Regular Visit Patterns

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Detecting Regular Visit Patterns
We are given a trajectory T and an area A. T might intersect A several times, and our aim is to detect whether T visits A with some regularity, e.g. what is the longest time span that a GPS-GSM equipped elephant visited a specific lake on a daily (weekly or yearly) basis, where the elephant has to visit the lake most of the days (weeks or years), but not necessarily on every day (week or year). During the modelling of such applications, we encounter an elementary problem on bitstrings, that we call LDS (LongestDenseSubstring). The bits of the bitstring correspond to a sequence of regular time points, in which a bit is set to 1 iff the trajectory T intersects the area A at the corresponding time point. For the LDS problem, we are given a string s as input and want to output a longest substring of s, such that the ratio of 1's in the substring is at least a certain threshold. In our model, LDS is a core problem for many applications that aim at detecting regularity of T intersecting...
Bojan Djordjevic, Joachim Gudmundsson, Anh Pham, T
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where ESA
Authors Bojan Djordjevic, Joachim Gudmundsson, Anh Pham, Thomas Wolle
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