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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2001
IEEE
14 years 11 months ago
Tracking of Object with SVM Regression
This paper presents a novel feature-matching based approach for rigid object tracking. The proposed method models the tracking problem as discovering the affine transforms of obje...
Weiyu Zhu, Song Wang, Ruei-Sung Lin, Stephen E. Le...
FGR
2000
IEEE
158views Biometrics» more  FGR 2000»
14 years 1 months ago
Robust Face Tracking Using Color
In this paper we discuss a new robust tracking technique applied to histograms of intensity normalized color. This technique supports a video codec based on orthonormal basis codi...
Karl Schwerdt, James L. Crowley
IPCV
2007
13 years 10 months ago
Tracking Multiple Sports Players for Mobile Display
- An architecture system and a method for tracking people are presented for sports applications. The system’s input is video data from static camera and the output is the real wo...
Andreas Aristidou, Paul Pangalos, Hamid Aghvami
AAAI
2004
13 years 10 months ago
PROBCONS: Probabilistic Consistency-Based Multiple Alignment of Amino Acid Sequences
Obtaining an accurate multiple alignment of protein sequences is a difficult computational problem for which many heuristic techniques sacrifice optimality to achieve reasonable r...
Chuong B. Do, Michael Brudno, Serafim Batzoglou
PCM
2005
Springer
209views Multimedia» more  PCM 2005»
14 years 2 months ago
Virtual Object Placement in Video for Augmented Reality
This article describes a method to insert virtual objects into a real video stream based on feature tracking and camera pose estimation from a set of single-camera video frames. To...
Jong Seung Park, Mee Young Sung, Sung-Ryul Noh