Sciweavers

664 search results - page 8 / 133
» A Probabilistic Background Model for Tracking
Sort
View
IJCV
2006
125views more  IJCV 2006»
13 years 7 months ago
Robust Tracking Using Foreground-Background Texture Discrimination
This paper conceives of tracking as the developing distinction of a foreground against the background. In this manner, fast changes in the object or background appearance can be de...
Hieu Tat Nguyen, Arnold W. M. Smeulders
MVA
2007
179views Computer Vision» more  MVA 2007»
13 years 7 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
PCM
2004
Springer
135views Multimedia» more  PCM 2004»
14 years 28 days ago
Probabilistic Face Tracking Using Boosted Multi-view Detector
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
Peihua Li, Haijing Wang
ICCV
2001
IEEE
14 years 9 months ago
Plan-View Trajectory Estimation with Dense Stereo Background Models
In a known environment, objects may be tracked in multiple views using a set of background models. Stereo-based models can be illumination-invariant, but often have undefined valu...
Trevor Darrell, David Demirdjian, Neal Checka, Ped...
GI
2007
Springer
14 years 1 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell