Online Identification of Dwell Regions for Moving Objects
A region R is a dwell region for a moving object O if, given a threshold distance d and duration t, every point of R remains within distance d of O for at least time t. Clearly, points within R are likely to be of interest to O, so identification of O and R has applications in areas such as monitori...
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creator | Uddin, M. R. Ravishankar, C. V. Tsotras, V. J. |
description | A region R is a dwell region for a moving object O if, given a threshold distance d and duration t, every point of R remains within distance d of O for at least time t. Clearly, points within R are likely to be of interest to O, so identification of O and R has applications in areas such as monitoring and surveillance, as well as to trajectory simplification. We propose an online algorithm to solve this problem, which can handle dynamic addition and deletion of data in logarithmic time. We assume an incoming stream of object positions, and maintain the upper and lower bounds for the radius of the smallest circle enclosing these positions, as points are added and deleted. These bounds allow us to greatly reduce the number of trajectory points we need to consider in the query, as well as to defer query evaluation. Our method can approximate the radius of the smallest circle enclosing a given sub trajectory within an arbitrarily small user defined factor. Our experiments show that the proposed method can scale up to hundreds of thousands of trajectories. |
doi_str_mv | 10.1109/MDM.2012.41 |
format | Conference Proceeding |
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Our method can approximate the radius of the smallest circle enclosing a given sub trajectory within an arbitrarily small user defined factor. 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These bounds allow us to greatly reduce the number of trajectory points we need to consider in the query, as well as to defer query evaluation. Our method can approximate the radius of the smallest circle enclosing a given sub trajectory within an arbitrarily small user defined factor. Our experiments show that the proposed method can scale up to hundreds of thousands of trajectories.</description><subject>Approximation methods</subject><subject>Buildings</subject><subject>Data structures</subject><subject>Heuristic algorithms</subject><subject>Real-time systems</subject><subject>Trajectory</subject><subject>Vectors</subject><issn>1551-6245</issn><issn>2375-0324</issn><isbn>1467317969</isbn><isbn>9781467317962</isbn><isbn>0769547133</isbn><isbn>9780769547138</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjMtqAkEQRTsviBpXWWbTPzCmqqtftQyah6AIwb2MM9XSMpkJzpCQv4-Q3M3hcOAqdY8wQwR-XC_WMwNoZhYv1BiCZ2cDEl2qkaHgCiBjr9QYrQ-EgT1fqxE6h4U31t2qad8f4bxoEBBHijdtk1vRy1raIadclUPuWt0lvfiWptHvcjh7r1N30uvuK7cHvdkfpRr6O3WTyqaX6T8navvyvJ2_FavN63L-tCoyw1DUEP2eozclBTalreoYvInCMUVMds_g0VXCNRuCQOCkAjEueIsUbSKaqIe_2ywiu89T_ihPPztP586efgGCxUeX</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Uddin, M. 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R.</creatorcontrib><creatorcontrib>Ravishankar, C. V.</creatorcontrib><creatorcontrib>Tsotras, V. J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Uddin, M. R.</au><au>Ravishankar, C. V.</au><au>Tsotras, V. J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Online Identification of Dwell Regions for Moving Objects</atitle><btitle>2012 IEEE 13th International Conference on Mobile Data Management</btitle><stitle>mdm</stitle><date>2012-07</date><risdate>2012</risdate><spage>248</spage><epage>257</epage><pages>248-257</pages><issn>1551-6245</issn><eissn>2375-0324</eissn><isbn>1467317969</isbn><isbn>9781467317962</isbn><eisbn>0769547133</eisbn><eisbn>9780769547138</eisbn><coden>IEEPAD</coden><abstract>A region R is a dwell region for a moving object O if, given a threshold distance d and duration t, every point of R remains within distance d of O for at least time t. Clearly, points within R are likely to be of interest to O, so identification of O and R has applications in areas such as monitoring and surveillance, as well as to trajectory simplification. We propose an online algorithm to solve this problem, which can handle dynamic addition and deletion of data in logarithmic time. We assume an incoming stream of object positions, and maintain the upper and lower bounds for the radius of the smallest circle enclosing these positions, as points are added and deleted. These bounds allow us to greatly reduce the number of trajectory points we need to consider in the query, as well as to defer query evaluation. Our method can approximate the radius of the smallest circle enclosing a given sub trajectory within an arbitrarily small user defined factor. Our experiments show that the proposed method can scale up to hundreds of thousands of trajectories.</abstract><pub>IEEE</pub><doi>10.1109/MDM.2012.41</doi><tpages>10</tpages></addata></record> |
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subjects | Approximation methods Buildings Data structures Heuristic algorithms Real-time systems Trajectory Vectors |
title | Online Identification of Dwell Regions for Moving Objects |
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