Travelled to:1 × Brazil
1 × Canada
1 × China
1 × Korea
1 × USA
1 × United Kingdom
Collaborated with:G.A.Fink B.Möller J.Richarz P.Husemann S.Kanies K.Lienemann T.Marschall M.Martin L.Schillingmann M.Steinrucken H.Sudek R.McNaney S.Lindsay K.Ladha C.Ladha G.Schofield N.Y.Hammerla D.Jackson R.Walker N.Miller P.Olivier
Talks about:base (3) recognit (2) extract (2) featur (2) detect (2) camera (2) model (2) use (2) hmm (2) interactionwith (1)
Person: Thomas Plötz
DBLP: Pl=ouml=tz:Thomas
Contributed to:
2011
2008
2007200620052004Wrote 7 papers:
- CHI-2011-McNaneyLLLSPHJWMO
- Cueing for drooling in Parkinson’s disease (RM, SL, KL, CL, GS, TP, NYH, DJ, RW, NM, PO), pp. 619–622.
- ICPR-2008-MollerPF #multi #performance #reliability
- Calibration-free camera hand-over for fast and reliable person tracking in multi-camera setups (BM, TP, GAF), pp. 1–4.
- ICPR-2008-RicharzPF #3d #detection #gesture #realtime
- Real-time detection and interpretation of 3D deictic gestures for interactionwith an intelligent environment (JR, TP, GAF), pp. 1–4.
- ICDAR-2007-FinkP #modelling #on the #recognition
- On the Use of Context-Dependent Modeling Units for HMM-Based Offline Handwriting Recognition (GAF, TP), pp. 729–733.
- ICPR-v3-2006-PlotzFHKLMMSSS #automation #detection #modelling #music #probability #using
- Automatic Detection of Song Changes in Music Mixes Using Stochastic Models (TP, GAF, PH, SK, KL, TM, MM, LS, MS, HS), pp. 665–668.
- ICDAR-2005-FinkP #feature model #independence #on the #recognition
- On Appearance-Based Feature Extraction Methods for Writer-Independent Handwritten Text Recognition (GAF, TP), pp. 1070–1074.
- ICPR-v2-2004-PlotzF #analysis #biology #feature model #sequence
- Feature Extraction for Improved Profile HMM based Biological Sequence Analysis (TP, GAF), pp. 315–318.