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» Novel Observation Model for Probabilistic Object Tracking
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ECCV
2004
Springer
14 years 11 months ago
3D Human Body Tracking Using Deterministic Temporal Motion Models
Abstract. There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and se...
Raquel Urtasun, Pascal Fua
ICVS
2009
Springer
14 years 3 months ago
A Multiple Hypothesis Approach for a Ball Tracking System
This paper presents a computer vision system for tracking and predicting flying balls in 3-D from a stereo-camera. It pursues a “textbook-style” approach with a robust circle ...
Oliver Birbach, Udo Frese
IJRR
2008
242views more  IJRR 2008»
13 years 9 months ago
Bilateral Symmetry Detection for Real-time Robotics Applications
Bilateral symmetry is a salient visual feature of many man-made objects. In this paper, we present research that use bilateral symmetry to identify, segment and track objects in re...
Wai Ho Li, Alan M. Zhang, Lindsay Kleeman
CA
2002
IEEE
14 years 1 months ago
Polyhedral Object Detection and Pose Estimation for Augmented Reality Applications
In augmented reality applications, tracking and registration of both cameras and objects is required because, to combine real and rendered scenes, we must project synthetic models...
Ali Shahrokni, Luca Vacchetti, Vincent Lepetit, Pa...
PAMI
2008
189views more  PAMI 2008»
13 years 9 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...