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116
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CVPR
2005
IEEE
16 years 2 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...
101
Voted
CDES
2006
240views Hardware» more  CDES 2006»
15 years 2 months ago
Design of Low Power 4-Tap 8-Bit Adiabatic FIR Filter
Abstract-- Digital signal processing (DSP) is used to perform filtering, decimation and down conversion in common communications systems, like in oversampling analog to digital con...
Arun N. Chandorkar, Gurvinder Singh
100
Voted
ICPR
2010
IEEE
15 years 3 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
ACCV
2007
Springer
15 years 6 months ago
Depth from Stationary Blur with Adaptive Filtering
This work achieves an efficient acquisition of scenes and their depths along long streets. A camera is mounted on a vehicle moving along a path and a sampling line properly set in ...
Jiang Yu Zheng, Min Shi
120
Voted
ICMI
2005
Springer
201views Biometrics» more  ICMI 2005»
15 years 6 months ago
A joint particle filter for audio-visual speaker tracking
In this paper, we present a novel approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a jo...
Kai Nickel, Tobias Gehrig, Rainer Stiefelhagen, Jo...