Moving Object Detection on a Vehicle Mounted Back-Up Camera
In the detection of moving objects from vision sources one usually assumes that the scene has been captured by stationary cameras. In case of backing up a vehicle, however, the camera mounted on the vehicle moves according to the vehicle’s movement, resulting in ego-motions on the background. This results in mixed motion in the scene, and makes it difficult to distinguish between the target objects and background motions. Without further treatments on the mixed motion, traditional fixed-viewpoint object detection methods will lead to many false-positive detection results. In this paper, the authors suggest a procedure to be used with the traditional moving object detection methods relaxing the stationary cameras restriction, by introducing additional steps before and after the detection. The authors also describe the implementation as a Field Programmable Gate Array (FPGA) platform along with the algorithm. The target application of this suggestion is use with a road vehicle’s rear-view camera systems.
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- © 2016 Dong-Sun Kim and Jinsan Kwon.
- Kim, Dong-Sun
- Kwon, Jinsan
- Publication Date: 2016
- Media Type: Digital/other
- Pagination: v.p.
Open Access (libre)
- TRT Terms: Algorithms; Backing (Driving); Cameras; Detectors; Motion; Rearview mirrors; Vehicle safety
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
- Accession Number: 01603154
- Record Type: Publication
- Files: TRIS
- Created Date: May 25 2016 2:19PM