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| Title: | A web-shareable real-world imaging problem for enhancing an image-processing curriculum | |
| Author (s): | Stanley, R. Joe Watkins, Steve E. Gopal, Anand Moss, Randy Hays | |
| Department/Lab Affiliations: | Applied Optics Laboratory Center for Infrastructure Engineering Studies Electrical and Computer Engineering Image Processing Laboratory University Transportation Center | |
| Keywords: | Image processing Orthographic projection Real-world educational laboratory Traffic monitoring in transportation | |
| Issue Date: | 2004 | |
| Publisher: | Institute of Electrical and Electronics Engineers IEEE | |
| Citation: | R. J. Stanley, S. E. Watkins, A. Gopal, R. H. Moss." A Web-Sharable Real-World Imaging Problem for Enhancing an Image-Processing Curriculum," IEEE Transactions on Education, Vol. 47, 2004, pp. 211-219, 2004. | |
| Abstract: | A real-world laboratory exercise is presented for image processing and related curricula. The exercise is a traffic-monitoring problem in which a truck must be tracked as it moves across a bridge and its velocity measured. Sequential images are taken from a dedicated Web camera that views the Smart Composite Bridge on the University of Missouri-Rolla campus. The prototype bridge is a field laboratory for several interdisciplinary courses, including a Machine Vision elective. The Machine Vision image-processing elective uses the traffic-monitoring exercise to give students experience with processing complex images, tracking image markers, and applying theoretical orthographic concepts. The laboratory exercise uses an image sequence acquired during the springtime with multiple potential markers available on the truck for assignment flexibility. A wintertime image sequence with snowy conditions is also available for assignment flexibility. This paper discusses the bridge and camera resources, the traffic-monitoring laboratory exercise description, and the Machine Vision course implementation and evaluation. Two versions of the traffic-monitoring exercise, including two image sequences and orthographic MATLAB code, are available on the bridge Website. | |
| Type: | Article - Journal text | |
| In Title: | IEEE Transactions on Education | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. allows publisher's final version to be uploaded FULL COPYRIGHT INFORMATION: | |
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| title | A web-shareable real-world imaging problem for enhancing an image-processing curriculum | |
| contributor.author | Stanley, R. Joe | |
| contributor.author | Watkins, Steve E. | |
| contributor.author | Gopal, Anand | |
| contributor.author | Moss, Randy Hays | |
| contributor.deptlab | Applied Optics Laboratory | |
| contributor.deptlab | Center for Infrastructure Engineering Studies | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Image Processing Laboratory | |
| contributor.deptlab | University Transportation Center | |
| subject | Image processing | |
| subject | Orthographic projection | |
| subject | Real-world educational laboratory | |
| subject | Traffic monitoring in transportation | |
| date.issued | 2004 | |
| publisher | Institute of Electrical and Electronics Engineers IEEE | |
| identifier.citation | R. J. Stanley, S. E. Watkins, A. Gopal, R. H. Moss." A Web-Sharable Real-World Imaging Problem for Enhancing an Image-Processing Curriculum," IEEE Transactions on Education, Vol. 47, 2004, pp. 211-219, 2004. | |
| identifier.pub.URI | ||
| description.abstract | A real-world laboratory exercise is presented for image processing and related curricula. The exercise is a traffic-monitoring problem in which a truck must be tracked as it moves across a bridge and its velocity measured. Sequential images are taken from a dedicated Web camera that views the Smart Composite Bridge on the University of Missouri-Rolla campus. The prototype bridge is a field laboratory for several interdisciplinary courses, including a Machine Vision elective. The Machine Vision image-processing elective uses the traffic-monitoring exercise to give students experience with processing complex images, tracking image markers, and applying theoretical orthographic concepts. The laboratory exercise uses an image sequence acquired during the springtime with multiple potential markers available on the truck for assignment flexibility. A wintertime image sequence with snowy conditions is also available for assignment flexibility. This paper discusses the bridge and camera resources, the traffic-monitoring laboratory exercise description, and the Machine Vision course implementation and evaluation. Two versions of the traffic-monitoring exercise, including two image sequences and orthographic MATLAB code, are available on the bridge Website. | |
| type | Article - Journal | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights | allows publisher's final version to be uploaded | |
| rights.URI | ||
| rights.URI | ||
| rights.URI | ||
| relation.isPartOf | IEEE Transactions on Education | |
| date.accessioned | 2008-07-02T20:48:15Z | |
| date.available | 2008-07-07T20:26:11Z | |
| identifier.persist.URI | ||
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