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» Detecting and Tracking Moving Objects for Video Surveillance
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AVSS
2008
IEEE
15 years 8 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
ICIP
2008
IEEE
16 years 3 months ago
Motion detection with false discovery rate control
Visual surveillance applications such as object identification, object tracking, and anomaly detection require reliable motion detection as an initial processing step. Such a dete...
David A. Castañon, J. Mike McHugh, Janusz K...
PSIVT
2007
Springer
239views Multimedia» more  PSIVT 2007»
15 years 7 months ago
People Counting in Low Density Video Sequences
This paper presents a novel approach for automatic people counting in videos captured through a conventional closed-circuit television (CCTV) using computer vision techniques. The ...
Jaime Dalla Valle, Luiz E. Soares de Oliveira, Ale...
ICASSP
2009
IEEE
15 years 8 months ago
Modeling and tracking of faces in real-life illumination conditions
In this paper, we address the problem of face tracking across illumination changes and occlusions. The method is based on leveraging the strengths of both Adaboost to deal with cl...
Rahul Thota, Archana Kalyansundar, Amit Kale
IBPRIA
2003
Springer
15 years 6 months ago
Underwater Cable Tracking by Visual Feedback
Nowadays, the surveillance and inspection of underwater installations, such as power and telecommunication cables and pipelines, is carried out by trained operators who, from the s...
Javier Antich, Alberto Ortiz