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» The case for crowd computing
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ECCV
2008
Springer
15 years 24 days 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...
WACV
2007
IEEE
14 years 5 months ago
Homography-based Analysis of People and Vehicle Activities in Crowded Scenes
This paper presents an new framework for homographybased analysis of pedestrian-vehicle activity in crowded scenes. Planar homography constraint is exploited to extract view-invar...
Sangho Park, Mohan M. Trivedi
WSC
2008
14 years 1 months ago
Multi-resolution spatial simulation for molecular crowding
Spatial phenomena attract increasingly interest in computational biology. Molecular crowding, i.e. a dense population of macromolecules, is known to have a significant impact on t...
Matthias Jeschke, Adelinde M. Uhrmacher
CVPR
2009
IEEE
14 years 2 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
MOBIHOC
2010
ACM
13 years 8 months ago
Globs in the primordial soup: the emergence of connected crowds in mobile wireless networks
In many practical scenarios, nodes gathering at points of interest yield sizable connected components (clusters), which sometimes comprise the majority of nodes. While recent anal...
Simon Heimlicher, Kavé Salamatian