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» Creating Generative Models from Range Images
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ICIP
2005
IEEE
16 years 8 months ago
Tracking objects in video using motion and appearance models
This paper proposes a visual tracking algorithm that combines motion and appearance in a statistical framework. It is assumed that image observations are generated simultaneously ...
Aswin C. Sankaranarayanan, Rama Chellappa, Qinfen ...
TOG
2008
196views more  TOG 2008»
15 years 6 months ago
Motion-invariant photography
Object motion during camera exposure often leads to noticeable blurring artifacts. Proper elimination of this blur is challenging because the blur kernel is unknown, varies over t...
Anat Levin, Peter Sand, Taeg Sang Cho, Fréd...
ICSE
2007
IEEE-ACM
16 years 6 months ago
Feedback-Directed Random Test Generation
We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ern...
MVA
2002
188views Computer Vision» more  MVA 2002»
15 years 6 months ago
Adaptive Background Estimation for Object Tracking
2 Adaptive Background Model Tracking people has received considerable attention by computer vision researchers. Interest is motivated by the broad range of potential applications s...
Ryunosuke Itoh, Yoshio Iwai, Masahiko Yachida
CVPR
2004
IEEE
15 years 10 months ago
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
Yizhou Wang, Song Chun Zhu