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Sensors 2016, 16(1), 23;

Moving Object Detection on a Vehicle Mounted Back-Up Camera

Embedded Software Convergence Research Center, Korea Electronics Technology Institute, Saenari-ro 25, Bundang-gu, Seongnam-si, Gyeonggi-do 13509, Korea
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Received: 12 October 2015 / Revised: 15 December 2015 / Accepted: 22 December 2015 / Published: 25 December 2015
(This article belongs to the Special Issue Sensors in New Road Vehicles)
Full-Text   |   PDF [14170 KB, uploaded 25 December 2015]   |  


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, we 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. We also decribe the implementation as a FPGA platform along with the algorithm. The target application of this suggestion is use with a road vehicle’s rear-view camera systems. View Full-Text
Keywords: moving object detection; mixture of Gaussians; pyramidal Lucas-Kanade optical flow; backup collision intervention moving object detection; mixture of Gaussians; pyramidal Lucas-Kanade optical flow; backup collision intervention

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Kim, D.-S.; Kwon, J. Moving Object Detection on a Vehicle Mounted Back-Up Camera. Sensors 2016, 16, 23.

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