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» Tracking Periodic Motion using Bayesian Estimation
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ECCV
2006
Springer
15 years 11 months ago
PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts
Abstract. We present a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other related state of the art tech...
Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr
CVPR
2005
IEEE
15 years 11 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
ICIP
2000
IEEE
15 years 11 months ago
Topology-Independent Region Tracking with Level Sets
This paper presents a new approach to the tracking of regions in an image sequence. Unlike most other methods, the proposed approach can handle topology changes, i.e., regions may...
Abdol-Reza Mansouri, Antoine Olivier, Janusz Konra...
ICPR
2008
IEEE
15 years 11 months ago
Geometric constraints on 2D action models for tracking human body
We propose a 2D model-based approach for tracking human body parts during articulated motion. A human is modeled as a stick figure with thirteen landmarks, and an action is a sequ...
Alexei Gritai, Arslan Basharat, Mubarak Shah
ICCV
2003
IEEE
15 years 11 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little