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» Object Tracking by Adaptive Modeling
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ICCV
2009
IEEE
13 years 6 months ago
Tracking a large number of objects from multiple views
We propose a multi-object multi-camera framework for tracking large numbers of tightly-spaced objects that rapidly move in three dimensions. We formulate the problem of finding co...
Zheng Wu, Nickolay I. Hristov, Tyson L. Hedrick, T...
ICCV
2007
IEEE
13 years 10 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
ICPR
2010
IEEE
13 years 6 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, ...
ICPR
2008
IEEE
14 years 10 months ago
Tracking features on a moving object using local image bases
This paper presents a new method for tracking feature points on the textureless surface of a moving object. We employ a local image basis as a descriptor of each point for dealing...
Atsuto Maki, Takashi Matsuyama, Yosuke Hatanaka
ERSA
2003
171views Hardware» more  ERSA 2003»
13 years 10 months ago
Collaborative and Reconfigurable Object Tracking
Camera 1 Camera 3 Camera 2 Controller Moving object FPGA PowerPC SDRAM Coprocessor Image Sensor SDRAM FlashRAM a) b) Many vision applications perform intensive computations and de...
Soheil Ghiasi, Hyun J. Moon, Majid Sarrafzadeh