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» Object detection using spatial histogram features
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149
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ICPR
2006
IEEE
16 years 3 months ago
Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion
Due to the increasing amount of 3D data for various applications there is a growing need for classification and search in such databases. As the representation of 3D objects is no...
Marco Reisert, Hans Burkhardt
143
Voted
CVPR
2005
IEEE
16 years 4 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah
144
Voted
VCIP
2003
192views Communications» more  VCIP 2003»
15 years 4 months ago
Performance measures for video object segmentation and tracking
We propose measures to evaluate the performance of video object segmentation and tracking methods quantitatively without ground-truth segmentation maps. The proposed measures are ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
134
Voted
ICIP
2009
IEEE
15 years 11 days ago
An objective video quality metric based on spatiotemporal distortion
This paper proposes an objective video quality metric based on an analysis of spatial and temporal distortions. Spatial quality features extracted from the spatiotemporal region o...
Junyong You, Miska M. Hannuksela, Moncef Gabbouj
148
Voted
AVSS
2005
IEEE
15 years 8 months ago
Wavelet packets and co-occurrence matrices for texture-based image segmentation
In this paper, a texture-based segmentation approach using wavelet packets, co-occurrence matrices and normalised modified histogram thresholding is discussed and developed. Back...
Marc Bartels, Hong Wei, David C. Mason