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» Robust moving object detection under complex background
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ICPR
2002
IEEE
14 years 8 months ago
Tracking Hands and Objects for an Intelligent Video Production System
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
Motoyuki Ozeki, Masatsugu Itoh, Yuichi Nakamura, Y...
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
13 years 8 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 19 days ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
IJIG
2002
189views more  IJIG 2002»
13 years 7 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
TIP
2008
344views more  TIP 2008»
13 years 7 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino