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» Detecting and Tracking Moving Objects for Video Surveillance
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CVPR
2005
IEEE
16 years 3 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah
ISPAN
2009
IEEE
15 years 8 months ago
Vector Bank Based Multimedia Codec System-on-a-Chip (SoC) Design
—In this paper, we present a design architecture of implementing a ”Vector Bank” into video encoder system, namely, an H.264 encoder, in order to detect and analyze the movin...
Ruei-Xi Chen, Wei Zhao, Jeffrey Fan, Asad Davari
TROB
2008
118views more  TROB 2008»
15 years 1 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak
ICASSP
2007
IEEE
15 years 7 months ago
Spatiotemporal Algorithm for Background Subtraction
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
S. Derin Babacan, Thrasyvoulos N. Pappas
CVPR
2007
IEEE
16 years 3 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...