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Journals ACM Computing Surveys (CSUR) Volume 41 Issue 1

Survey and Analysis of Multimodal Sensor Planning and Integration for Wide Area Surveillance BESMA R. ABIDI, NASH R. ARAGAM, YI YAO, and MONGI A. ABIDI The University of Tennessee Although sensor planning in computer vision has been a subject of research for over two decades, a vast majority of the research seems to concentrate on two particular applications in a rather limited context of laboratory and industrial workbenches, namely 3D object reconstruction and robotic arm manipulation. Recently, increasing interest is engaged in research to come up with solutions that provide wide-area autonomous surveillance systems for object characterization and situation awareness, which involves portable, wireless, and/or Internet connected radar, digital video, and/or infrared sensors. The prominent research problems associated with multisensor integration for wide-area surveillance are modality selection, sensor planning, data fusion, and data exchange (communication) among multiple sensors. Thus, the requirements and constraints to be addressed include far- eld view, wide coverage, high resolution, cooperative sensors, adaptive sensing modalities, dynamic objects, and uncontrolled environments. This article summarizes a new survey and analysis conducted in light of these challenging requirements and constraints. It involves techniques and strategies from work done in the areas of sensor fusion, sensor networks, smart

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Survey and analysis of multimodal sensor planning and integration for wide area surveillance

Abidi, Besma R.; Aragam, Nash R.; Yao, Yi; Abidi, Mongi A.
ACM Computing Surveys (CSUR) , Volume 41 (1)
Association for Computing Machinery – Dec 1, 2008

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