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» A Bayesian Framework for Multi-cue 3D Object Tracking
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SAC
2010
ACM
14 years 2 months ago
Tracking random finite objects using 3D-LIDAR in marine environments
This paper presents a random finite set theoretic formulation for multi-object tracking as perceived by a 3D-LIDAR in a dynamic environment. It is mainly concerned with the joint...
Kwang Wee Lee, Bharath Kalyan, W. Sardha Wijesoma,...
ECCV
2006
Springer
13 years 11 months ago
Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision
Abstract. This paper presents an endoscopic vision framework for modelbased 3D guidance of surgical instruments used in robotized laparoscopic surgery. In order to develop such a s...
Christophe Doignon, Florent Nageotte, Michel de Ma...
CVPR
2008
IEEE
14 years 9 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICIP
2008
IEEE
14 years 1 months ago
Matching tracking sequences across widely separated cameras
In this paper, we present a new solution to the problem of matching tracking sequences across different cameras. Unlike snapshot-based appearance matching which matches objects by...
Yinghao Cai, Kaiqi Huang, Tieniu Tan
ICPR
2008
IEEE
14 years 8 months ago
Parametric video compression using appearance space
The novelty of the approach presented in this paper is the unique object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods...
Santanu Chaudhury, Subarna Tripathi, Sumantra Dutt...