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» Object detection at multiple scales improves accuracy
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ICCV
2007
IEEE
14 years 7 months ago
Real-time Accurate Object Detection using Multiple Resolutions
We propose a multi-resolution framework inspired by human visual search for general object detection. Different resolutions are represented using a coarse-to-fine feature hierarch...
Wei Zhang 0002, Gregory J. Zelinsky, Dimitris Sama...
TIP
2008
142views more  TIP 2008»
13 years 5 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
ICPR
2006
IEEE
14 years 6 months ago
Efficient, Simultaneous Detection of Multiple Object Classes
At present, the object categorisation literature is still dominated by the use of individual class detectors. Detecting multiple classes then implies the subsequent application of...
Esther Koller-Meier, Luc J. Van Gool, Philipp Zehn...
CVPR
2010
IEEE
14 years 1 months ago
On Detection of Multiple Object Instances using Hough Transforms
To detect multiple objects of interest, the methods based on Hough transform use non-maxima supression or mode seeking in order to locate and to distinguish peaks in Hough images....
Olga Barinova, Victor Lempitsky, Pushmeet Kohli
DAGM
2008
Springer
13 years 7 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko