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» Object Tracking by Adaptive Modeling
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ECCV
2010
Springer
15 years 8 months ago
Localizing Objects while Learning Their Appearance
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
133
Voted
ESANN
2004
15 years 4 months ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray
BMVC
2010
15 years 1 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
107
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ICIP
2005
IEEE
16 years 5 months ago
A weight-adaptive dynamic model for shape segmentation
Physically based dynamic models are able to describe variable shapes without prior training. Their behaviour to find an object is intuitive, which facilitates corrections of false...
Klaus D. Tönnies, Peter Benedix
142
Voted
CVPR
2009
IEEE
16 years 25 days ago
Motion pattern interpretation and detection for tracking moving vehicles in airborne video
Detection and tracking of moving vehicles in airborne videos is a challenging problem. Many approaches have been proposed to improve motion segmentation on frameby-frame and pixel...
Gérard G. Medioni, Qian Yu