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» Probabilistic Object Tracking Using Multiple Features
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ICASSP
2011
IEEE
12 years 11 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
13 years 9 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
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
14 years 2 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
14 years 9 months ago
Detecting and Tracking Multiple Moving Objects Using Temporal Integration
Michal Irani, Benny Rousso, Shmuel Peleg
ICIP
2009
IEEE
13 years 5 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