TRIP: A Low-Cost Vision-Based Location System for Ubiquitous Computing

被引:103
作者
Lopez-De-Ipina, Diego [1 ]
Mendonca, Paulo R. S. [2 ]
Hopper, Andy [1 ,3 ]
机构
[1] Univ Cambridge, Commun Engn Lab, Cambridge CB2 1TN, England
[2] Univ Cambridge, Fallside Lab, Cambridge CB2 1TN, England
[3] AT&T Labs, Cambridge, England
关键词
Computer vision; Context-aware computing; CORBA; Location-aware computing; Sentient spaces;
D O I
10.1007/s007790200020
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Sentient Computing provides computers with perception so that they can react and provide assistance to user activities. Physical spaces are made sentient when they are wired with networks of sensors capturing context data, which is communicated to computing devices spread through the environment. These devices interpret the information provided and react by performing the actions expected by the user. Among the types of context information provided by sensors, location has proven to be especially useful. Since location is an important context that changes whenever the user moves, a reliable location-tracking system is critical to many sentient applications. However, the sensor technologies used in indoor location tracking are expensive and complex to deploy, configure and maintain. These factors have prevented a wider adoption of Sentient Computing in our living and working spaces. This paper presents TRIP, a low-cost and easily deployable vision-based sensor technology addressing these issues. TRIP employs off-the-shelf hardware (low-cost CCD cameras and PCs) and printable 2-D circular markers for entity identification and location. The usability of TRIP is illustrated through the implementation of several sentient applications.
引用
收藏
页码:206 / 219
页数:14
相关论文
共 28 条
[1]   Implementing a sentient computing system [J].
Addlesee, M ;
Curwen, R ;
Hodges, S ;
Newman, J ;
Steggles, P ;
Ward, A ;
Hopper, A .
COMPUTER, 2001, 34 (08) :50-+
[2]  
*AT T LAB, 2001, OMNORB 3 0 HIGH PERF
[3]  
BRUMITT B, 2000, HANDHELD UBIQUIT SEP
[4]  
DEIPINA DL, 2001, P 15 INT C INF NETW
[5]   INVARIANT DESCRIPTORS FOR 3-D OBJECT RECOGNITION AND POSE [J].
FORSYTH, D ;
MUNDY, JL ;
ZISSERMAN, A ;
COELHO, C ;
HELLER, A ;
ROTHWELL, C .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1991, 13 (10) :971-991
[6]  
HARTER A, 1999, P MOBICOM 99 SEATTL
[7]   Location systems for ubiquitous [J].
Hightower, J ;
Borriello, G .
COMPUTER, 2001, 34 (08) :57-+
[8]  
HOPPER A, 2000, PHILOS T ROY SOC LON, V358, P2379
[9]  
Kato H., 1999, Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99), P85, DOI 10.1109/IWAR.1999.803809
[10]  
Krumm J, 2000, THIRD IEEE INTERNATIONAL WORKSHOP ON VISUAL SURVEILLANCE, PROCEEDINGS, P3, DOI 10.1109/VS.2000.856852