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» A Boundary-Fragment-Model for Object Detection
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ICCV
2011
IEEE
13 years 11 months ago
Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes
We present a method for detecting 3D objects using multi-modalities. While it is generic, we demonstrate it on the combination of an image and a dense depth map which give complem...
Stefan Hinterstoisser, Stefan Holzer, Cedric Cagni...
BMCBI
2010
143views more  BMCBI 2010»
14 years 12 months ago
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images
Background: Several algorithms have been proposed for detecting fluorescently labeled subcellular objects in microscope images. Many of these algorithms have been designed for spe...
Pekka Ruusuvuori, Tarmo Äijö, Sharif Cho...
JRTIP
2006
119views more  JRTIP 2006»
14 years 11 months ago
Achieving real-time object detection and tracking under extreme conditions
In this survey, we present a brief analysis of single camera object detection and tracking methods. We also give a comparison of their computational complexities. These methods ar...
Fatih Porikli
DICTA
2009
15 years 25 days ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan
NIPS
2004
15 years 1 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...