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ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
14 years 4 months ago
Segmenting Layers in Automated Visual Surveillance
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
Lijuan Qin, Yueting Zhuang, Yunhe Pan, Fei Wu
ICCV
2007
IEEE
14 years 5 months ago
Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure
In this article, we present an object tracking system which allows interactive user feedback to improve the accuracy of the tracking process in real-time video. In addition, we des...
Ard Oerlemans, Bart Thomee
JUCS
2010
265views more  JUCS 2010»
13 years 9 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
AMR
2003
Springer
139views Multimedia» more  AMR 2003»
14 years 4 months ago
Intelligent Visual Descriptor Extraction from Video Sequences
Abstract. Extraction of visual descriptors is a crucial problem for stateof-the-art visual information analysis. In this paper, we present a knowledgebased approach for detection o...
Paraskevi K. Tzouveli, Georgios Andreou, Gabriel T...
COLING
2002
13 years 10 months ago
Annotation-Based Multimedia Summarization and Translation
This paper presents techniques for multimedia annotation and their application to video summarization and translation. Our tool for annotation allows users to easily create annota...
Katashi Nagao, Shigeki Ohira, Mitsuhiro Yoneoka