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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huan Huo Shangye Chen Liang Song Leiyu Ban Zonghan Wu Liang Liu Liping Gao |
| Copyright Year | 2015 |
| Description | Author affiliation: Northwest Univ., Xi'an, China (Shangye Chen) || Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China (Huan Huo; Liang Song; Leiyu Ban; Liang Liu; Liping Gao) || Linkoping Univ., Linkoping, Sweden (Zonghan Wu) |
| Abstract | Mobility data records the change of location and time about the crowd activities, reflecting a large amount of semantic knowledge about human mobility and hot regions. From the perspective of regional semantic knowledge, mining anomalous regions of overcrowded area is essential for disaster-aware resilience system scheme. This paper studies how to discover anomalous regions of moving crowds over the mobility data. From the perspective of spatial information analysis about the location sequence of moving crowds, the paper introduces grid structure to index activity space and proposes a density calculation method of grid cells based on kernel function. By adopting Top-k sorting method, the algorithm determines the density thresholds to detect the anomalous regions. Finally, experimental results validate the feasibility and effectiveness of the above method on practical data sets. |
| Starting Page | 1669 |
| Ending Page | 1674 |
| File Size | 457366 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781509001545 |
| DOI | 10.1109/CIT/IUCC/DASC/PICOM.2015.252 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-26 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Clustering methods density Clustering algorithms kernel grid Trajectory anomalous detection Indexes Kernel Sorting |
| Content Type | Text |
| Resource Type | Article |
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