Sciweavers

11428 search results - page 18 / 2286
» Learning From Crowds
Sort
View
IPCV
2010
13 years 7 months ago
Multi Target Video Tracking Using Residual Vector Quantization
In this paper, we use Residual Vector Quantization (RVQ) for multi-target tracking. To the best of our knowledge, this is the first reported application of RVQ to any form of vide...
Salman Aslam, Christopher F. Barnes, Aaron F. Bobi...
DIGITALCITIES
2003
Springer
14 years 3 months ago
Virtual Cities for Real-World Crisis Management
In this paper, we present the evacuation simulation system that is the combination of a virtual city and a crisis management simulation. The system allows users to become virtual e...
Hideyuki Nakanishi, Satoshi Koizumi, Toru Ishida
ECCV
2008
Springer
14 years 11 months ago
Unified Crowd Segmentation
Abstract. This paper presents a unified approach to crowd segmentation. A global solution is generated using an Expectation Maximization framework. Initially, a head and shoulder d...
Gianfranco Doretto, Jens Rittscher, Nils Krahnstoe...
CSCW
2012
ACM
12 years 5 months ago
Shepherding the crowd yields better work
Micro-task platforms provide massively parallel, ondemand labor. However, it can be difficult to reliably achieve high-quality work because online workers may behave irresponsibly...
Steven Dow, Anand Pramod Kulkarni, Scott R. Klemme...
EDBT
2009
ACM
195views Database» more  EDBT 2009»
14 years 4 months ago
Anonymizing moving objects: how to hide a MOB in a crowd?
Moving object databases (MOD) have gained much interest in recent years due to the advances in mobile communications and positioning technologies. Study of MOD can reveal useful i...
Roman Yarovoy, Francesco Bonchi, Laks V. S. Lakshm...