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» Using Histograms to Detect and Track Objects in Color Video
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ICIP
2000
IEEE
14 years 9 months ago
Discovering Recurrent Visual Semantics in Consumer Photographs
We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenes- in consum...
Alejandro Jaimes, Ana B. Benitez, Shih-Fu Chang, A...
ICCV
2005
IEEE
14 years 1 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
MVA
2007
161views Computer Vision» more  MVA 2007»
13 years 9 months ago
Using Space-Time Interest Points for Video Sequence Synchronization
We introduce an algorithm for synchronizing two video sequences recorded by stationary cameras. It extends common RANSAC-based approaches that recover either a homography or a fun...
Daniel Wedge, Du Huynh, Peter Kovesi
TIP
2010
312views more  TIP 2010»
13 years 6 months ago
A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
—Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In com...
Chenlei Guo, Liming Zhang
CVPR
2012
IEEE
11 years 10 months ago
Changedetection.net: A new change detection benchmark dataset
Change detection is one of the most commonly encountered low-level tasks in computer vision and video processing. A plethora of algorithms have been developed to date, yet no wide...
Nil Goyette, Pierre-Marc Jodoin, Fatih Porikli, Ja...