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ICIP
2007
IEEE
15 years 3 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
MASS
2010
160views Communications» more  MASS 2010»
15 years 1 months ago
Dynamic operator replacement in sensor networks
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techni...
Moritz Striibe, Michael Daum, Rüdiger Kapitza...
FPL
1997
Springer
123views Hardware» more  FPL 1997»
15 years 7 months ago
P4: A platform for FPGA implementation of protocol boosters
Protocol Boosters are functional elements, inserted anddeleted fromnetwork protocol stacks on an as-neededbasis. The Protocol Booster design methodology attempts to improve end-to-...
Ilija Hadzic, Jonathan M. Smith
JIIS
2008
133views more  JIIS 2008»
15 years 3 months ago
Maintaining frequent closed itemsets over a sliding window
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
James Cheng, Yiping Ke, Wilfred Ng
JEI
2000
133views more  JEI 2000»
15 years 3 months ago
Low complexity block motion estimation using morphological-based feature extraction and XOR operations
Motion estimation is a temporal image compression technique, where an n x n block of pixels in the current frame of a video sequence is represented by a motion vector with respect...
Thinh M. Le, R. Mason, Sethuraman Panchanathan