Moving Object Detection
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Joyce', 'PO_EMAI': None, 'PO_PHON': None}
The detection of moving objects in the environment is important             for a broad range of tasks involving activities such as locomotion,             manipulation, and description.  This proposal describes a line of               research aimed at studying vision-based techniques for recognizing the          presence of moving objects in the field of view.  The solutions must            have broad generality and good reliability; the analysis specifically           deals with problems associated with moving-object detection when the            camera may also be moving.  In the latter case, moving and stationary           objects may both be changing position with respect to the camera,               generating visual motion in the imagery.  Significant preliminary work          has been completed on the problem.  The proposed work would build on            the prior results by addressing three problems that are central to the          development of a general understanding of detection of moving objects:          (1)  how can depth information be combined with visual motion?  (2) can         existing structure-from-motion algorithms  be extended to include the           detection of motion while avoiding problems with numerical instability?         (3) can detectability thresholds be computed based on magnitudes of             relative motion and noise, and how do various simplifying assumptions           affect those thresholds?
{'FirstName': 'William', 'LastName': 'Thompson', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William B Thompson', 'EmailAddress': 'thompson@cs.utah.edu', 'NSF_ID': '000457414', 'StartDate': '07/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '6840', 'Text': 'ROBOTICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8722576.xml'}