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PCM
2004
Springer
168views Multimedia» more  PCM 2004»
15 years 5 months ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao
APCCAS
2006
IEEE
323views Hardware» more  APCCAS 2006»
15 years 5 months ago
Real-Time Implementation of a Particle Filter with Integrated Voice Activity Detector for Acoustic Speaker Tracking
— In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficult...
Anders M. Johansson, Eric A. Lehmann, Sven Nordhol...
ICCV
2011
IEEE
13 years 3 months ago
Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories
Recognition of human actions in a video acquired by a moving camera typically requires standard preprocessing steps such as motion compensation, moving object detection and object ...
Shandong Wu, Omar Oreifej, and Mubarak Shah
ICIP
2007
IEEE
16 years 1 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...
ECCV
2000
Springer
16 years 1 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...