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» Robust Visual Tracking for Multiple Targets
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CVPR
2009
IEEE
15 years 2 months ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...
MVA
1996
118views Computer Vision» more  MVA 1996»
13 years 8 months ago
Correlation-Based Visual Tracking Enhanced by Affine Motion Description
Since conventional correlation-based visual tracking algorithms are based on a single reference block, they often fail to track a target in the following situations: 1) a view of ...
Yoshihisa Adachi, Minoru Asada, Takayuki Nakamura
PAMI
2006
191views more  PAMI 2006»
13 years 7 months ago
Principal Axis-Based Correspondence between Multiple Cameras for People Tracking
Visual surveillance using multiple cameras has attracted increasing interest in recent years. Correspondence between multiple cameras is one of the most important and basic problem...
Weiming Hu, Min Hu, Xue Zhou, Tieniu Tan, Jianguan...
ICCV
2011
IEEE
12 years 4 months ago
Tracking by Sampling Trackers
We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world trac...
junseok kwon and kyoung mu lee
ICASSP
2008
IEEE
14 years 1 months ago
Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing
In this work, we implement a real-time visual tracker that targets the position and 3D pose of objects in video sequences, specifically faces. Using Stream Processors for perform...
Oscar Mateo Lozano, Kazuhiro Otsuka