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» Path detection in video surveillance
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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
TIP
2010
170views more  TIP 2010»
13 years 2 months ago
A Distributed Topological Camera Network Representation for Tracking Applications
Abstract--Sensor networks have been widely used for surveillance, monitoring, and tracking. Camera networks, in particular, provide a large amount of information that has tradition...
Edgar J. Lobaton, Ramanarayan Vasudevan, Ruzena Ba...
ECCV
2006
Springer
13 years 11 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
ICPR
2002
IEEE
14 years 8 months ago
Using Normal Flow for Detection and Tracking of Limbs in Color Images
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
Zoran Duric, Fayin Li, Yan Sun, Harry Wechsler
GLOBECOM
2009
IEEE
14 years 2 months ago
MRSD: Multirate-Based Service Differentiation for the IEEE 802.15.4 Wireless Sensor Network
—The IEEE 802.15.4 standard has no provisions for rate sensitive applications because of its ability to operate in pure CSMA/CA or TDMA modes. Some operating scenarios for rate-s...
Chewoo Na, Yaling Yang