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» Tracking Objects Using Density Matching and Shape Priors
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ICIP
2009
IEEE
14 years 8 months ago
Semantic Labeling Of Track Events Using Time Series Segmentation And Shape Analysis
This paper presents a novel framework for applying semantic labels to events within a track. A track is a two-dimensional (2D) or a three-dimensional (3D) signal in time where eac...
MMM
2006
Springer
154views Multimedia» more  MMM 2006»
14 years 1 months ago
A robust object shape prediction algorithm in the presence of white Gaussian noise
This paper presents a shape prediction algorithm in a noisy video sequence based on pixel representation in the undecimated wavelet domain. In our algorithm for tracking of user-d...
Mohammad Khansari, Hamid R. Rabiee, M. Asadi, M. G...
TSMC
2008
128views more  TSMC 2008»
13 years 7 months ago
Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Zhen Guo, MengChu Zhou, Guofei Jiang
ICIP
2009
IEEE
13 years 5 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi
ICRA
2007
IEEE
143views Robotics» more  ICRA 2007»
14 years 1 months ago
A Moment-based 3D Object Tracking Algorithm for High-speed Vision
— In this paper we propose a method of realizing continuous tracking of a three-dimensional object by calculating moments of a translating and rotating object whose shape is know...
Takashi Komuro, Masatoshi Ishikawa