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» A Boundary-Fragment-Model for Object Detection
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ICIP
2006
IEEE
16 years 8 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
ICPR
2006
IEEE
16 years 7 months ago
Object Predetection Based on Kernel Parametric Distribution Fitting
Multimodal distribution fitting is an important task in pattern recognition. For instance, the predetection which is the preliminary stage that limits image areas to be processed i...
Jean-Philippe Tarel, Sabri Boughorbel
ACIVS
2007
Springer
15 years 10 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic
ICPR
2004
IEEE
16 years 7 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
ISCAS
2003
IEEE
145views Hardware» more  ISCAS 2003»
15 years 12 months ago
Automatic moving object extraction in MPEG video
In this paper, we propose a moving object extraction technique for MPEG coded data directly. It is a changebased motion object extraction approach, which discriminates background ...
Wei Zeng, Wen Gao, Debin Zhao