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» Robust object detection scheme using feature selection
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DAGM
2007
Springer
15 years 3 months ago
Holomorphic Filters for Object Detection
It is well known that linear filters are not powerful enough for many low-level image processing tasks. But it is also very difficult to design robust non-linear filters that res...
Marco Reisert, Olaf Ronneberger, Hans Burkhardt
IJCV
1998
105views more  IJCV 1998»
14 years 9 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
TCSV
2008
291views more  TCSV 2008»
14 years 9 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
ICIP
2010
IEEE
14 years 7 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
ICDAR
2009
IEEE
15 years 4 months ago
Generic Feature Selection and Document Processing
This paper presents a generic features selection method and its applications on some document analysis problems. The method is based on a genetic algorithm (GA), whose tness funct...
Hassan Chouaib, Nicole Vincent, Florence Cloppet, ...