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» Robust Optical Flow Estimation
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ECCV
1998
Springer
16 years 2 months ago
Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint
Abstract. The aim of this paper is to explore intrinsic geometric methods of recovering the three dimensional motion of a moving camera from a sequence of images. Generic similarit...
Yi Ma, Jana Kosecka, Shankar Sastry
ICPR
2002
IEEE
16 years 1 months ago
Using Normal Flow for Detection and Tracking of Limbs in Color Images
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
Zoran Duric, Fayin Li, Yan Sun, Harry Wechsler
84
Voted
ICCV
2005
IEEE
16 years 2 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
DAGM
2010
Springer
15 years 29 days ago
Tracking People in Broadcast Sports
Abstract. We present a method for tracking people in monocular broadcast sports videos by coupling a particle filter with a vote-based confidence map of athletes, appearance featur...
Angela Yao, Dominique Uebersax, Juergen Gall, Luc ...
263
Voted
ICPR
2008
IEEE
16 years 1 months ago
Scale-invariant medial features based on gradient vector flow fields
We propose a novel set of medial feature interest points based on gradient vector flow (GVF) fields [18]. We exploit the long ranging GVF fields for symmetry estimation by calcula...
Cristóbal Curio, David Engel