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» Real-Time Object Segmentation Using a Bag of Features Approa...
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111
Voted
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
70
Voted
MVA
2007
159views Computer Vision» more  MVA 2007»
15 years 1 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl...
CVPR
2012
IEEE
13 years 2 months ago
RGB-(D) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Xiaofeng Ren, Liefeng Bo, Dieter Fox
ICMCS
2006
IEEE
134views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Motion Segmentation of 3D Video using Modified Shape Distribution
In this paper, temporal segmentation of 3D video based on motion analysis is presented. 3D video is a sequence of 3D models made for a real-world dynamic object. A modified shape ...
Toshihiko Yamasaki, Kiyoharu Aizawa
112
Voted
ICPR
2000
IEEE
15 years 4 months ago
Moving Shadow and Object Detection in Traffic Scenes
We present an algorithm for segmentation of traffic scenes that distinguishes moving objects from cast shadows. Three image features at each pixel site are considered: brightness,...
Ivana Mikic, Pamela C. Cosman, Greg T. Kogut, Moha...