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ICIP
2008
IEEE
13 years 11 months ago
A gradient-based hybrid image fusion scheme using object extraction
This paper presents a new hybrid image fusion scheme that combines features of pixel and region based fusion, to be integrated in a surveillance system. In such systems, objects c...
Milad Ghantous, Soumik Ghosh, Magdy Bayoumi
ICPR
2008
IEEE
14 years 5 months ago
Extending depth of field by intrinsic mode image fusion
Here, a versatile data-driven application independent method to extend the depth of field is presented. The principal contribution in this effort is the use of features extracted ...
Andreas Koschan, Harishwaran Hariharan, Mongi A. A...
ICIP
2003
IEEE
14 years 6 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
ICIP
2009
IEEE
13 years 2 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi
ICIP
2005
IEEE
14 years 6 months ago
Spatio-temporal attention model for video content analysis
This paper presents a new model of human attention that allows salient areas to be extracted from video frames. As automatic understanding of video semantic content is still far fr...
Mickael Guironnet, Nathalie Guyader, Denis Pelleri...