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» Classifier Grids for Robust Adaptive Object Detection
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CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
JMM2
2007
183views more  JMM2 2007»
13 years 7 months ago
A Chaos Theoretic Analysis of Motion and Illumination in Video Sequences
— Accurate and robust image motion detection has been of substantial interest in the image processing and computer vision communities. Unfortunately, no single motion detection a...
Michael E. Farmer
CVPR
2007
IEEE
14 years 9 months ago
Fast Keypoint Recognition in Ten Lines of Code
While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle pe...
Mustafa Özuysal, Pascal Fua, Vincent Lepetit
CVPR
2005
IEEE
14 years 9 months ago
Randomized Trees for Real-Time Keypoint Recognition
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of suc...
Vincent Lepetit, Pascal Lagger, Pascal Fua
CVPR
2009
IEEE
15 years 2 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...