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GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 7 days ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
CVIU
2010
184views more  CVIU 2010»
13 years 4 months ago
Vision and RFID data fusion for tracking people in crowds by a mobile robot
In this paper, we address the problem of realizing a human following task in a crowded environment. We consider an active perception system, consisting of a camera mounted on a pa...
Thierry Germa, Frédéric Lerasle, Nou...
CVPR
2011
IEEE
13 years 2 months ago
Learning Context for Collective Activity Recognition
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Wongun Choi, Silvio Savarese, Khuram Shahid
HIS
2008
13 years 9 months ago
Improving the Performance of Partitioning Methods for Crowd Simulations
Simulating the realistic behavior of large crowds of autonomous agents is still a challenge for the computer graphics community. In order to handle large crowds, some scalable arc...
Guillermo Vigueras, Miguel Lozano, Juan Manuel Ord...
ISVC
2005
Springer
14 years 28 days ago
Mining Paths of Complex Crowd Scenes
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models o...
Beibei Zhan, Paolo Remagnino, Sergio A. Velastin