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ICMCS
2005
IEEE
201views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram
This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of th...
Xinyu Xu, Baoxin Li
DICTA
2008
13 years 9 months ago
Application of the Particle Filter to Tracking of Fish in Aquaculture Research
The analysis of fish movement as an indicator of fish behaviour plays an important role in aquaculture research. Currently observations are carried out manually using video record...
Tomasz Pinkiewicz, Ray Williams, John Purser
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...
ICIP
2010
IEEE
13 years 5 months ago
Collaborative particle filters for group tracking
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework f...
Loris Bazzani, Marco Cristani, Vittorio Murino
ICPR
2010
IEEE
13 years 5 months ago
Adaptive Motion Model for Human Tracking Using Particle Filter
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...
Mohammad Hossein Ghaeminia, Amir Hossein Shabani, ...