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» Probabilistic Object Tracking Using Multiple Features
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ICASSP
2011
IEEE
14 years 1 months ago
Simultaneous object tracking and depth estimation using color shifting property of a multiple color-filter aperture camera
A multiple color-filter aperture (MCA) camera can provide depth information as well as color and intensity in the single-camera framework, where the MCA generates misalignment bet...
Seungwon Lee, Jinhee Lee, Joon Ki Paik
AUSAI
2008
Springer
14 years 11 months ago
Using Probabilistic Feature Matching to Understand Spoken Descriptions
Abstract. We describe a probabilistic reference disambiguation mechanism developed for a spoken dialogue system mounted on an autonomous robotic agent. Our mechanism performs proba...
Ingrid Zukerman, Enes Makalic, Michael Niemann
72
Voted
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
15 years 4 months ago
Particle filtering using multiple cross-correlations for tracking occluded objects in cluttered scenes
— This paper is concerned with the tracking of partially or entirely occluded objects in a video sequence. We propose certain modifications to the template matching approach, whi...
Arie Nakhmani, Allen Tannenbaum
ECCV
1992
Springer
15 years 11 months ago
Detecting and Tracking Multiple Moving Objects Using Temporal Integration
Michal Irani, Benny Rousso, Shmuel Peleg
ICIP
2009
IEEE
14 years 7 months ago
Object tracking using multiple fragments
This paper presents a low-cost tracking algorithm based on multiple multiple fragments, increasing robustness with respect to partial occlusions. Given the initial template repres...
Claudio R. Jung, Amir Said