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ICPR
2006
IEEE
14 years 8 months ago
Object Detection in Video via Particle Filters
We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...
Jacek Czyz
CVPR
2005
IEEE
14 years 9 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
AVSS
2009
IEEE
13 years 11 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
EVENT
2001
140views more  EVENT 2001»
13 years 9 months ago
Multimodal 3-D Tracking and Event Detection via the Particle Filter
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
ICPR
2010
IEEE
13 years 11 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