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» Using Histograms to Detect and Track Objects in Color Video
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ICIP
2007
IEEE
14 years 9 months ago
Rotation Detection using the Curl Equation
Rotational types of motion can often be seen in video sequences. However, not a lot of research has been done to investigate rotational motion models for use in video. Analysing t...
Daire Lennon, Naomi Harte, Anil C. Kokaram
CVPR
2005
IEEE
14 years 9 months ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
COMSIS
2007
167views more  COMSIS 2007»
13 years 7 months ago
Developing a New Color Model for Image Analysis and Processing
The theoretical outcomes and experimental results of new color model implemented in algorithms and software of image processing are presented in the paper. This model, as it will b...
Rashad J. Rasras, Ibrahiem M. M. El Emary, Dimitri...
ICIP
2010
IEEE
13 years 5 months ago
A close-up detection method for movies
Close-up (CU) is a photographic technique which tightly frames a person or an object. In movies, it is applied to guide audience attention and to evoke audience emotion. In this p...
Huiying Liu, Min Xu, Qingming Huang, Jesse S. Jin,...
ICIP
2005
IEEE
14 years 9 months ago
Combining interest points and edges for content-based image retrieval
Abstract-- This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterize...
Junqiu Wang, Hongbin Zha, Roberto Cipolla