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» People Tracking Using Hybrid Monte Carlo Filtering
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TSP
2008
157views more  TSP 2008»
13 years 5 months ago
Sequential Monte Carlo Methods for Tracking Multiple Targets With Deterministic and Stochastic Constraints
In multitarget scenarios, kinematic constraints from the interaction of targets with their environment or other targets can restrict target motion. Such motion constraint informati...
Ioannis Kyriakides, Darryl Morrell, Antonia Papand...
AUTOMATICA
2002
93views more  AUTOMATICA 2002»
13 years 5 months ago
Hybrid state estimation: a target tracking application
In this paper we present a framework in which the general hybrid filtering or state estimation problem can be formulated. The problem of joint tracking and classification can be f...
Yvo Boers, Hans Driessen
ICPR
2004
IEEE
14 years 6 months ago
Articulate Hand Motion Capturing Based on a Monte Carlo Nelder-Mead Simplex Tracker
This paper presents an algorithm for tracking the articulate hand motion in monocular video sequences. The task is challenging due to the high degrees of freedom involved in the h...
John Lin, Thomas S. Huang, Ying Wu
ICPR
2010
IEEE
13 years 9 months ago
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking
This work introduces a new pattern recognition model for segmenting and tracking lip contours in video sequences. We formulate the problem as a general nonrigid object tracking me...
Gustavo Carneiro, Jacinto Nascimento
CVPR
2005
IEEE
14 years 7 months ago
Appearance-Guided Particle Filtering for Articulated Hand Tracking
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...
Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung