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» Object Detection in Video via Particle Filters
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CLEAR
2007
Springer
208views Biometrics» more  CLEAR 2007»
14 years 2 months ago
Head Orientation Estimation Using Particle Filtering in Multiview Scenarios
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multipl...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICPR
2006
IEEE
14 years 9 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
ICPR
2002
IEEE
14 years 1 months ago
Detecting Automobiles and People for Semantic Video Retrieval
This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active...
Rene Visser, Nicu Sebe, Michael S. Lew
ICCV
2003
IEEE
14 years 10 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
CRV
2007
IEEE
159views Robotics» more  CRV 2007»
14 years 2 months ago
Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques
We describe a video indexing system that aims at indexing large video files in relation to the presence of similar faces. The detection of near-frontal view faces is done with a c...
Samuel Foucher, Langis Gagnon