Improving the robustness of parametric shape tracking with switched multiple models

Pattern Recognition

Volumn 35, Issue 12, 2002, Pages 2711-2718

  Nascimento, J C ^a   Marques, J S ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Dynamic models; Gaussian; Kalman multi model tracker (KMM); Outliers; Robust multi model tracker (RMM); Strokes

Indexed keywords

ALGORITHMS; EDGE DETECTION; MATHEMATICAL MODELS; MOTION ESTIMATION; PROBABILITY;

PARAMETRIC SHAPE TRACKING; ROBUST FILTERING;

OBJECT RECOGNITION;

IMAGE ANALYSIS; SHAPE ANALYSIS; TRACKING;

EID: 0036887666     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(01)00244-8     Document Type: Article

References (10)

1. Learning deformable models for tracking the human body
2. A mixed-state condensation tracker with automatic model-switching
3. Shape tracking based on switched dynamical models
4. Optimal and suboptimal shape tracking based on switched dynamic models
5. Robust shape tracking in the presence of cluttered background
6. Detection and estimation for abruptly changing systems
7. State estimation for discrete systems with switching parameters
8. Active shape models-their training and application