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» Learning to localize detected objects
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ICIP
2010
IEEE
13 years 8 months ago
Multi-view object and human body part detection utilizing 3D scene information
The aim of this paper is to present a new method for multiview object or human body (or body part) detection. The basic idea consists of using a single view detector in every view...
Georgios Sfiris, Nikolaos Nikolaidis, Ioannis Pita...
CVPR
2009
IEEE
15 years 5 months ago
An Empirical Study of Context in Object Detection
This paper presents an empirical evaluation of the role of context in a contemporary, challenging object detection task – the PASCAL VOC 2008. Previous experiments with context...
Alexei A. Efros, Derek Hoiem, James Hays, Martial ...
ICASSP
2011
IEEE
13 years 1 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
CVPR
2007
IEEE
15 years 13 hour ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown
ISBI
2008
IEEE
14 years 10 months ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering