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» Statistical Models of Appearance for Computer Vision
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ECCV
2004
Springer
16 years 5 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
149
Voted
CVPR
2009
IEEE
16 years 10 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...
122
Voted
ICPR
2010
IEEE
15 years 8 months ago
The Human Action Image
Recognizing a person’s motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recogn...
Ricky Sethi, Amit Roy-Chowdhury
ICPR
2000
IEEE
16 years 4 months ago
Image Representational Model for Predicting Visual Distinctness of Objects
Here we show that a notion of congruence in statistical structureacross2 0frequency bandsproduces a useful definition of visualpatterns for perceiving target distinctness. In orde...
J. Chamorro, Javier Martinez-Baena, Rosa Rodriguez...
ECCV
2004
Springer
15 years 8 months ago
Novelty Detection in Image Sequences with Dynamic Background
Abstract. We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty de...
Fredrik Kahl, Richard I. Hartley, Volker Hilsenste...