@article {19273,
	title = {Dataflow-Based Implementation of Layered Sensing Applications},
	year = {2011},
	month = {2011},
	abstract = {This report describes a new dataflow-based technology and associated design tools for high-productivity design, analysis, and optimization of layered sensing software for signal processing systems. Our approach provides novel capabilities, based on the principles of task-level dataflow analysis, for exploring and optimizing interactions across application behavior; operational context; high performance embedded processing platforms, and implementation constraints. Particularly, we introduce and deliver novel software tools, called the targeted dataflow interchange format (TDIF) and Dataflow Interchange Format Markup Language (DIFML), for design and implementation of layered sensing and signal processing systems. The TDIF-CUDA (Compute Unified Device Architecture) environment is a graphics processing unit targeted software synthesis tool that provides a unique integration of dynamic dataflow modeling; retargetable actor construction; software synthesis; and instrumentation-based schedule evaluation and tuning. The DIFML package is a software package for the DIFML format, which is an Extensible Markup Language (XML)-based format for exchanging information between DIF and other tools.},
	keywords = {*COMPUTER AIDED DESIGN, *DATA FUSION, *DATAFLOW, *LAYERS, *SOFTWARE TOOLS, COMPUTER PROGRAMMING AND SOFTWARE, DETECTION, High performance computing, LAYERED SENSING, OPTIMIZATION, Signal processing, synthesis, T2KA},
	author = {Bhattacharyya, Shuvra S. and Chung-Ching Shen and Plishker,William and Sane, Nimish and Wu, Hsiang-Huang and Gu, Ruirui}
}
@article {12524,
	title = {Moving Object Verification in Airborne Video Sequences},
	journal = {Circuits and Systems for Video Technology, IEEE Transactions on},
	volume = {19},
	year = {2009},
	month = {2009/01//},
	pages = {77 - 89},
	abstract = {This paper presents an end-to-end system for moving object verification in airborne video sequences. Using a sample selection module, the system first selects frames from a short sequence and stores them in an exemplar database. To handle appearance change due to potentially large aspect angle variations, a homography-based view synthesis method is then used to generate a novel view of each image in the exemplar database at the same pose as the testing object in each frame of a testing video segment. A rotationally invariant color matcher and a spatial-feature matcher based on distance transforms are combined using a weighted average rule to compare the novel view and the testing object. After looping over all testing frames, the set of match scores is passed to a temporal analysis module to examine the behavior of the testing object, and calculate a final likelihood. Very good verification performance is achieved over thousands of trials for both color and infrared video sequences using the proposed system.},
	keywords = {airborne, database;homography-based, databases;, matcher;color, matcher;image, matching;image, method;infrared, object, sequences;color, sequences;distance, sequences;moving, sequences;video, synthesis, system;exemplar, transforms;end-to-end, verification;spatial-feature, video, view},
	isbn = {1051-8215},
	doi = {10.1109/TCSVT.2008.2009243},
	author = {Yue,Zhanfeng and Guarino, D. and Chellapa, Rama}
}
