Abstract
Finding the hotspots in large indoor spaces is very important for getting overloaded locations, security, crowd management, indoor navigation and guidance. The tracking data coming from indoor tracking are huge in volume and not readily available for finding hotspots. This paper presents a graph-based model for constrained indoor movement that can map the tracking records into mapping records which represent the entry and exit times of an object in a particular location. Then it discusses the hotspots extraction technique from the mapping records.
| Original language | English |
|---|---|
| Title of host publication | 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013) |
| Number of pages | 4 |
| Publisher | Association for Computing Machinery |
| Publication date | Nov 2013 |
| Pages | 462-465 |
| ISBN (Print) | 978-1-4503-2521-9 |
| ISBN (Electronic) | 978-1-4503-2521-9 |
| DOIs | |
| Publication status | Published - Nov 2013 |
| Event | 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013) - Orlando, Florida, United States Duration: 5 Nov 2013 → 8 Nov 2013 Conference number: 21 http://sigspatial2013.sigspatial.org/ |
Conference
| Conference | 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013) |
|---|---|
| Number | 21 |
| Country/Territory | United States |
| City | Orlando, Florida |
| Period | 05/11/2013 → 08/11/2013 |
| Internet address |
Keywords
- Indoor tracking
- graph based model
- RFID
- moving objects