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» Tracking Large Variable Numbers of Objects in Clutter
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ICCV
2005
IEEE
14 years 7 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon
TIP
2010
147views more  TIP 2010»
12 years 12 months ago
Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations
We propose algorithms for tracking the boundary contour of a deforming object from an image sequence, when the nonaffine (local) deformation over consecutive frames is large and th...
Namrata Vaswani, Yogesh Rathi, Anthony J. Yezzi, A...
ECCV
2008
Springer
14 years 7 months ago
Surface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
Michael S. Langer
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
13 years 2 months ago
General object tracking with a component-based target descriptor
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures the structure and ap...
Simone Frintrop
ICANN
2009
Springer
13 years 9 months ago
Large-Scale Real-Time Object Identification Based on Analytic Features
Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in realtime. In contrast to related work, we do not res...
Stephan Hasler, Heiko Wersing, Stephan Kirstein, E...