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CVPR
2012
IEEE
11 years 10 months ago
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...
ECCV
2006
Springer
13 years 11 months ago
Motion Segmentation Using an Occlusion Detector
We present a novel method for the detection of motion boundaries in a video sequence based on differential properties of the spatio-temporal domain. Regarding the video sequence as...
Doron Feldman, Daphna Weinshall
MTA
2006
218views more  MTA 2006»
13 years 7 months ago
Object-based MPEG-2 video indexing and retrieval in a collaborative environment
In this paper, an object-based video retrieval methodology for search in large, heterogeneous video collections is presented. The proposed approach employs a real-time, compressed-...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
ICIP
2010
IEEE
13 years 5 months ago
Semi-automatic motion based segmentation using long term motion trajectories
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
Gary Baugh, Anil C. Kokaram
CVPR
2008
IEEE
14 years 9 months ago
Tensor reduction error analysis - Applications to video compression and classification
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
Chris H. Q. Ding, Heng Huang, Dijun Luo