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CVPR
2004
IEEE
16 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
SSDBM
1998
IEEE
107views Database» more  SSDBM 1998»
15 years 11 months ago
Discrete Object Detection and Motion Registration Based on a Data Management Approach
When scientific data sets can be interpreted visually they are typically managed as pictures and consequently stored as large collections of bitmaps. Valuable information containe...
Hans Hinterberger, Bettina Bauer-Messmer
TKDE
2012
212views Formal Methods» more  TKDE 2012»
13 years 9 months ago
Segmentation and Sampling of Moving Object Trajectories Based on Representativeness
—Moving Object Databases (MOD), although ubiquitous, still call for methods that will be able to understand, search, analyze, and browse their spatiotemporal content. In this pap...
Costas Panagiotakis, Nikos Pelekis, Ioannis Kopana...
CHI
2008
ACM
16 years 7 months ago
Location and activity sharing in everyday mobile communication
Frank Bentley We present a study on current, real-world communication of location and activity information based on analyzing context-sharing practices in recorded mobile phone cal...
Frank Bentley, Crysta J. Metcalf
ICSE
1998
IEEE-ACM
15 years 11 months ago
Measuring Cognitive Activities in Software Engineering
This paper presents an approach to the study of cognitive activities in collaborative software development. This approach has been developed by a multidisciplinary team made up of...
Pierre N. Robillard, Patrick d'Astous, Franç...