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» Video Objects Segmentation by Robust Background Modeling
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ICPR
2004
IEEE
14 years 9 months ago
Probabilistic People Tracking for Occlusion Handling
This work presents a novel people tracking approach, able to cope with frequent shape changes and large occlusions. In particular, the tracks are described by means of probabilist...
Rita Cucchiara, Costantino Grana, Giovanni Tardini...
ICPR
2008
IEEE
14 years 9 months ago
Variational Maximum A Posteriori model similarity and dissimilarity matching
A new variational Maximum A Posteriori (MAP) contextual modeling approach is presented that minimizes the product of two ratios: (a) the ratio of the model distribution to the dis...
John Chiverton, Majid Mirmehdi, Xianghua Xie
ICIP
2007
IEEE
14 years 2 months ago
Image Matting in the Framework of Quantification IV
Image matting and segmentation, which are used to extract a foreground object from the background, are primary techniques for digital image and video editing. In digital matting, ...
Takumi Kobayashi, Tadaaki Hosaka, Nobuyuki Otsu
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
PAMI
2010
146views more  PAMI 2010»
13 years 2 months ago
A Hierarchical Visual Model for Video Object Summarization
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of w...
David Liu, Gang Hua, Tsuhan Chen