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» Map-Based Multiple Model Tracking of a Moving Object
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ECCV
2006
Springer
15 years 5 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
CLOR
2006
15 years 5 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
JFR
2010
119views more  JFR 2010»
14 years 8 months ago
Unsupervised classification of dynamic obstacles in urban environments
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Roman Katz, Juan Nieto, Eduardo Mario Nebot
CVPR
2003
IEEE
16 years 3 months ago
Activity Recognition Using the Dynamics of the Configuration of Interacting Objects
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
Namrata Vaswani, Amit K. Roy Chowdhury, Rama Chell...
MSN
2007
Springer
151views Sensor Networks» more  MSN 2007»
15 years 7 months ago
Applications and Performances of Extended TTDDs in Large-Scale Wireless Sensor Networks
There are many applications of large scale sensor networks in which both the stimulus and the data collection stations are mobile (i.e. animal tracking, battlefield chasing). TTDD ...
Hong Zhou, Lu Jin, Zhongwei Zhang, Hesham H. Ali, ...