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» Spatial and Probabilistic Modelling of Pedestrian Behaviour
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BMVC
2002
13 years 6 months ago
Spatial and Probabilistic Modelling of Pedestrian Behaviour
This paper investigates the combination of spatial and probabilistic models for reasoning about pedestrian behaviour in visual surveillance systems. Models are learnt by a multi-s...
Dimitrios Makris, Tim Ellis
TPCG
2003
IEEE
13 years 9 months ago
Intuitive Crowd Behaviour in Dense Urban Environments using Local Laws
In games, entertainment, medical and architectural applications, the creation of populated virtual city environments has recently become widespread. In this paper we want to provi...
Céline Loscos, David Marchal, Alexandre Mey...
DAGM
2009
Springer
13 years 10 months ago
Pedestrian Detection by Probabilistic Component Assembly
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
CVPR
2003
IEEE
14 years 5 months ago
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, ...
IVC
2002
185views more  IVC 2002»
13 years 3 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis