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» Detecting Irregularities in Images and in Video
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CVPR
2007
IEEE
16 years 8 months ago
Shadow Removal in Front Projection Environments Using Object Tracking
When an occluding object, such as a person, stands between a projector and a display surface, a shadow results. We can compensate by positioning multiple projectors so they produc...
Samuel Audet, Jeremy R. Cooperstock
CVPR
2004
IEEE
16 years 8 months ago
A Discriminative Feature Space for Detecting and Recognizing Faces
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
IBPRIA
2007
Springer
16 years 13 days ago
Robust Lane Lines Detection and Quantitative Assessment
Detection of lane markings based on a camera sensor can be a low cost solution to lane departure and curve over speed warning. A number of methods and implementations have been rep...
Antonio M. López, Joan Serrat, Cristina Ca&...
ICIP
2009
IEEE
16 years 7 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
AVSS
2007
IEEE
16 years 19 days ago
Experiments with patch-based object classification
We present and experiment with a patch-based algorithm for the purpose of object classification in video surveillance. A feature vector is calculated based on template matching o...
Rob G. J. Wijnhoven, Peter H. N. de With