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CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
IEEEMSP
2002
IEEE
137views Multimedia» more  IEEEMSP 2002»
14 years 9 days ago
Realtime object extraction and tracking with an active camera using image mosaics
—Moving object extraction plays a key role in applications such as object-based videoconference, surveillance, and so on. The difficulties of moving object segmentation lie in th...
Chia-Wen Lin, Chih-Ming Wang, Yao-Jen Chang, Yung-...
MTA
2007
183views more  MTA 2007»
13 years 6 months ago
The design of a wireless real-time visual surveillance system
In this paper, we study the important issues in the design of an efficient WIreless real-time visual SurveillancE System (WISES). Two important considerations are to minimize: (1)...
Kam-yiu Lam, Calvin K. H. Chiu
CAIP
2003
Springer
247views Image Analysis» more  CAIP 2003»
13 years 11 months ago
Object Classification and Tracking in Video Surveillance
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrian...
Qi Zang, Reinhard Klette
MODELS
2010
Springer
13 years 5 months ago
Towards a Semantics of Activity Diagrams with Semantic Variation Points
Abstract. UML activity diagrams have become an established notamodel control and data flow on various levels of abstraction, ranging from fine-grained descriptions of algorithms ...
Hans Grönniger, Dirk Reiss, Bernhard Rumpe