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» Frame domain signal processing: Framework and applications
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AVSS
2006
IEEE
14 years 1 months ago
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations
This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stati...
Oliver Sidla, Yuriy Lypetskyy, Norbert Brändl...
CCGRID
2001
IEEE
13 years 11 months ago
KelpIO: A Telescope-Ready Domain-Specific I/O Library for Irregular Block-Structured Applications
To ameliorate the need to spend significant programmer time modifying parallel programs to achieve highperformance, while maintaining compact, comprehensible source codes, this pa...
Bradley Broom, Robert J. Fowler, Ken Kennedy
TSD
2005
Springer
14 years 26 days ago
Formal Prosodic Structures and Their Application in NLP
Abstract. A formal prosody description framework is introduced together with its relation to language semantics and NLP. The framework incorporates deep prosodic structures based o...
Jan Romportl, Jindrich Matousek
CISS
2010
IEEE
12 years 11 months ago
Compressive sampling for streaming signals with sparse frequency content
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
Petros Boufounos, M. Salman Asif
PAMI
2011
13 years 2 months ago
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
—We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar