Travelled to:
1 × Australia
1 × Austria
1 × China
1 × India
1 × Japan
1 × Turkey
1 × USA
1 × United Kingdom
2 × Canada
3 × Spain
Collaborated with:
S.Venkatesh H.H.Bui E.Tassone A.S.Ghanem S.Moncrieff A.W.K.Loh F.Lim P.Peursum M.Lazarescu T.Caelli ∅ A.Nurunnabi D.Belton M.Robey M.C.Robey R.Hosie N.T.Nguyen G.S.Chambers M.Takatsuka
Talks about:
data (6) use (4) multipl (3) track (3) refin (3) learn (3) human (3) increment (2) recognit (2) imbalanc (2)
Person: Geoff A. W. West
DBLP: West:Geoff_A=_W=
Contributed to:
Wrote 21 papers:
- ICPR-2012-NurunnabiBW #3d #multi #robust #segmentation
- Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data (AN, DB, GAWW), pp. 1367–1370.
- ICPR-2010-GhanemVW #classification #multi
- Multi-class Pattern Classification in Imbalanced Data (ASG, SV, GAWW), pp. 2881–2884.
- ICPR-2008-GhanemVW #learning #relational
- Learning in imbalanced relational data (ASG, SV, GAWW), pp. 1–4.
- ICPR-2008-MoncrieffVW #privacy #visual notation
- Context aware privacy in visual surveillance (SM, SV, GAWW), pp. 1–4.
- ICPR-v4-2006-MoncrieffVW #modelling #using
- Unifying Background Models over Complex Audio using Entropy (SM, SV, GAWW), pp. 249–253.
- ICPR-v4-2006-PeursumVW #linear
- Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects (PP, SV, GAWW), pp. 929–934.
- ICPR-v4-2004-PeursumBVW #segmentation #using
- Human Action Segmentation via Controlled Use of Missing Data in HMMs (PP, HHB, SV, GAWW), pp. 440–445.
- ICPR-v1-2002-LohRW #3d #modelling #process #using
- Refining 3D Models Using a Two-Stage Neural Network-Based Iterative Process (AWKL, MR, GAWW), pp. 172–175.
- ICPR-v1-2002-NguyenVWB #behaviour #monitoring #multi #people #using
- Hierarchical Monitoring of People’s Behaviors in Complex Environments Using Multiple Cameras (NTN, SV, GAWW, HHB), pp. 13–16.
- ICPR-v2-2002-ChambersVWB #gesture #recognition #video
- Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation (GSC, SV, GAWW, HHB), pp. 1082–1085.
- ICPR-v2-2002-TassoneWV #classification
- Temporal PDMs for Gait Classification (ET, GAWW, SV), pp. 1065–1068.
- ICPR-v2-2000-LohRW #incremental #learning #named #network
- IFOSART: A Noise Resistant Neural Network Capable of Incremental Learning (AWKL, MCR, GAWW), pp. 2985–2988.
- ICPR-v2-2000-MugurelVW #incremental #learning #multi #on the #recognition
- On the Incremental Learning and Recognition of the Pattern of Movement of Multiple Labeled Objects in Dynamic Scenes (ML, SV, GAWW), pp. 2652–2655.
- ICPR-v3-2000-WestT #refinement
- Assessing Different Features for Pose Refinement (GAWW, ET), pp. 3687–3690.
- ICPR-v4-2000-BuiVW #framework #probability
- A Probabilistic Framework for Tracking in Wide-Area Environments (HHB, SV, GAWW), pp. 4702–4705.
- ICDAR-1999-TakatsukaCWV #distributed #representation
- Symbolic Representation and Distributed Matching Strategies for Schematics (MT, TC, GAWW, SV), pp. 693–696.
- ICPR-1998-HosieVW #behaviour #detection #visual notation
- Classifying and detecting group behaviour from visual surveillance data (RH, SV, GAWW), pp. 602–604.
- ICPR-1998-LazarescuVWC #query #video
- Combining NL processing and video data to query American Football (ML, SV, GAWW, TC), pp. 1238–1240.
- ICPR-1996-LimVW
- Resolution consideration in spatially variant sensors (FLL, SV, GAWW), pp. 795–799.
- ICPR-1996-LimWV
- Tracking in a space variant active vision system (FLL, GAWW, SV), pp. 745–749.
- ICPR-1996-West #refinement #verification
- Assessing feature importance for verification and pose refinement (GAWW), pp. 30–34.