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ADAPTIVE PARAMETER ESTIMATION OF PERSON RECOGNITION MODEL IN A STOCHASTIC HUMAN TRACKING PROCESS
State space modelling Human tracking Sequential image Adaptive parameter estimation Close Range
2015/5/21
This paper aims at an estimation of parameters of person recognition models using a sequential Bayesian filtering method. In many human tracking method, any parameters of models used for recognize the...
Sensitive Analysis of Observation Model for Human Tracking Using a Stochastic Process
Observations Modelling Tracking Image Analysis Close Range
2014/7/30
This paper aims at obtaining basic knowledge about characteristics of observation models for human tracking method as a stochastic process. As human tracking in actual cases are complicated, we cannot...
CALIBRATION OF A MULTIPLE STEREO AND RGB-D CAMERA SYSTEM FOR 3D HUMAN TRACKING
Multi Camera System Bundle Adjustment 3D Similarity Transformation 3D Fused Human Cloud
2014/4/21
Human Tracking in Computer Vision is a very active up-going research area. Previous works analyze this topic by applying algorithms and features extraction in 2D, while 3D tracking is quite an unexplo...
MULTIPLE HUMAN TRACKING IN COMPLEX SITUATION BY DATA ASSIMILATION WITH PEDESTRIAN BEHAVIOR MODEL
Observations Simulation Integration Image Sequences Tracking System Modelling
2014/4/28
A new method of multiple human tracking is proposed. The key concept is that to assume a tracking process as a data assimilation process. Despite the importance of understanding pedestrian behavior in...
Tracking non-rigid objects with significant shape variation incomplex scenario is a difficult problem. Human tracking isa special case of this problem since human body has goodlocal rigid ...