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» Surrogate data: A novel approach to object detection
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CVPR
1999
IEEE
15 years 11 months 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
CVPR
2004
IEEE
15 years 11 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
SIGMOD
2006
ACM
141views Database» more  SIGMOD 2006»
15 years 9 months ago
Contour map matching for event detection in sensor networks
Many sensor network applications, such as object tracking and disaster monitoring, require effective techniques for event detection. In this paper, we propose a novel event detect...
Wenwei Xue, Qiong Luo, Lei Chen 0002, Yunhao Liu
VLDB
2007
ACM
190views Database» more  VLDB 2007»
15 years 10 months ago
Request Window: an Approach to Improve Throughput of RDBMS-based Data Integration System by Utilizing Data Sharing Across Concur
This paper focuses on the problem of improving distributed query throughput of the RDBMS-based data integration system that has to inherit the query execution model of the underly...
Rubao Lee, Minghong Zhou, Huaming Liao
PAMI
2008
275views more  PAMI 2008»
14 years 9 months ago
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles
Abstract-- We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approac...
Bastian Leibe, Konrad Schindler, Nico Cornelis, Lu...