Travelled to:
1 × Australia
1 × Spain
1 × USA
2 × Canada
4 × China
Collaborated with:
H.Wang P.Tissainayagam L.Wang A.Bab-Hadiashar N.A.Zaidi T.Tangkuampien S.Boukir F.Chen A.Shaji S.Chandran H.Zhou N.Gheissari
Talks about:
motion (7) visual (3) robust (3) track (3) human (3) base (3) algorithm (2) recognit (2) segment (2) multipl (2)
Person: David Suter
DBLP: Suter:David
Contributed to:
Wrote 13 papers:
- ICPR-2008-ShajiCS #optimisation
- Manifold optimisation for motion factorisation (AS, SC, DS), pp. 1–4.
- ICPR-2008-ZaidiS #algorithm #detection
- Confidence rated boosting algorithm for generic object detection (NAZ, DS), pp. 1–4.
- ICPR-2008-ZhouWS #classification #process #recognition #using
- Human motion recognition using Gaussian Processes classification (HZ, LW, DS), pp. 1–4.
- ICPR-v1-2006-WangS #robust
- Background Subtraction Based on a Robust Consensus Method (HW, DS), pp. 223–226.
- ICPR-v2-2006-WangS06b #recognition
- Informative Shape Representations for Human Action Recognition (LW, DS), pp. 1266–1269.
- ICPR-v3-2006-TangkuampienS #analysis #component #kernel
- Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering (TT, DS), pp. 457–460.
- ICPR-v4-2006-WangS06c #multi #performance #probability #visual notation
- Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues (HW, DS), pp. 892–895.
- ICPR-v1-2002-BoukirS #geometry
- Application of Rigid Motion Geometry to Film Restoration (SB, DS), pp. 360–363.
- ICPR-v2-2002-Bab-HadiasharGS #modelling #robust #segmentation
- Robust Model Based Motion Segmentation (ABH, NG, DS), pp. 753–756.
- ICPR-v3-2000-TissainayagamS #automation #multi #visual notation
- Visual Tracking of Multiple Objects with Automatic Motion Model Switching (PT, DS), pp. 7146–7158.
- ICPR-1998-Bab-HadiasharS #robust #segmentation
- Robust range segmentation (ABH, DS), pp. 969–971.
- ICPR-1998-ChenS #coordination #image
- Image coordinate transformation based on DIV-CURL vector splines (FC, DS), pp. 518–520.
- ICPR-1998-TissainayagamS #algorithm #using #visual notation
- Visual tracking and motion determination using the IMM algorithm (PT, DS), pp. 289–291.