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» Detecting and Tracking Moving Objects for Video Surveillance
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CVPR
1998
IEEE
16 years 3 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...

Publication
383views
16 years 1 months ago
Hunting Nessie -- Real-Time Abnormality Detection from Webcams
We present a data-driven, unsupervised method for unusual scene detection from static webcams. Such time-lapse data is usually captured with very low or varying framerate. This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
SIGMOD
2006
ACM
141views Database» more  SIGMOD 2006»
16 years 1 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
PAMI
2008
206views more  PAMI 2008»
15 years 1 months ago
Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors
We present a novel algorithm for detection of certain types of unusual events. The algorithm is based on multiple local monitors which collect low-level statistics. Each local moni...
Amit Adam, Ehud Rivlin, Ilan Shimshoni, David Rein...
JMM2
2007
183views more  JMM2 2007»
15 years 1 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