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» Mining Paths of Complex Crowd Scenes
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ISVC
2005
Springer
13 years 10 months 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
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
14 years 9 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
VR
2007
IEEE
141views Virtual Reality» more  VR 2007»
13 years 11 months ago
Real-time Path Planning for Virtual Agents in Dynamic Environments
We present a novel approach for real-time path planning of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multi-agent Navigation Graph (MaNG...
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L...
TVCG
2008
138views more  TVCG 2008»
13 years 4 months ago
Real-Time Path Planning in Dynamic Virtual Environments Using Multiagent Navigation Graphs
We present a novel approach for efficient path planning and navigation of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multiagent Navigatio...
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L...