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» Object Recognition Using Segmentation for Feature Detection
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MVA
2007
185views Computer Vision» more  MVA 2007»
15 years 3 months ago
An Efficient Method for Human Behavior Identification
This paper presents a recognition method for human behavior identification based on motion history image theory. The motion history image has the advantage that it can record the ...
Fang-Hsuan Cheng, Fu-Tai Chen
SSPR
2010
Springer
15 years 10 days ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
ECCV
2010
Springer
15 years 7 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
ICCV
2009
IEEE
1234views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Human Pose Estimation Using Consistent Max-Covering
We propose a novel consistent max-covering scheme for human pose estimation. Consistent max-covering formulates pose estimation as the covering of body part polygons on an objec...
Hao Jiang
PARELEC
2006
IEEE
15 years 8 months ago
Marching Pixels - Using Organic Computing Principles in Embedded Parallel Hardware
We present an organic computing approach for very fast image processing, which we call Marching Pixels (MPs). Using an embedded massively-parallel array of processor elements (PEs...
Marcus Komann, Dietmar Fey