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ICPR
2010
IEEE
13 years 8 months ago
Real-Time Abnormal Event Detection in Complicated Scenes
In this paper, we proposed a novel real-time abnormal event detection framework that requires a short training period and has a fast processing speed. Our approach is based on phas...
Yinghuan Shi, Yang Gao, Ruili Wang
CVPR
1999
IEEE
15 years 8 days ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie
ACCV
2006
Springer
14 years 4 months ago
3D Shape Recovery of Smooth Surfaces: Dropping the Fixed Viewpoint Assumption
We present a new method for recovering the 3D shape of a featureless smooth surface from three or more calibrated images. The main contribution of this paper is the ability to hand...
Yael Moses, Ilan Shimshoni
ICCV
2007
IEEE
15 years 6 days ago
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a...
Michael Jamieson, Afsaneh Fazly, Sven J. Dickinson...
ACCV
2006
Springer
14 years 4 months ago
Object Detection Using a Cascade of 3D Models
Abstract. We present an alignment framework for object detection using a hierarchy of 3D polygonal models. One difficulty with alignment methods is that the high-dimensional transf...
Hon-Keat Pong, Tat-Jen Cham