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» Mining Paths of Complex Crowd Scenes
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ISVC
2005
Springer
14 years 17 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
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
15 years 2 days 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»
14 years 1 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 7 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...