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ECCV
2008
Springer
14 years 9 months ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater
AAAI
1996
13 years 8 months ago
Robot Navigation Using Image Sequences
We describe a framework for robot navigation that exploits the continuity of image sequences. Tracked visual features both guide the robot and provide predictive information about...
Christopher Rasmussen, Gregory D. Hager
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 5 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...
3DPVT
2006
IEEE
139views Visualization» more  3DPVT 2006»
14 years 1 months ago
A Probabilistic Notion of Correspondence and the Epipolar Constraint
We present a probabilistic framework for correspondence and egomotion. First, we suggest computing probability distributions of correspondence. This has the advantage of being rob...
Justin Domke, Yiannis Aloimonos
AAAI
1997
13 years 8 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand