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» Probabilistic Object Tracking Using Multiple Features
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ACCV
2007
Springer
14 years 1 months ago
Feature Management for Efficient Camera Tracking
In dynamic scenes with occluding objects many features need to be tracked for a robust real-time camera pose estimation. An open problem is that tracking too many features has a ne...
Harald Wuest, Alain Pagani, Didier Stricker
CVPR
2001
IEEE
14 years 11 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...
Xue Mei, Shaohua Kevin Zhou, Fatih Porikli
ICCV
2009
IEEE
15 years 1 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
IBPRIA
2005
Springer
14 years 2 months ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is f...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...