Next Article in Journal
A Novel Method of Multi-Information Acquisition for Electromagnetic Flow Meters
Next Article in Special Issue
Integration of Body Sensor Networks and Vehicular Ad-hoc Networks for Traffic Safety
Previous Article in Journal
Inertial Sensor Technology for Elite Swimming Performance Analysis: A Systematic Review
Previous Article in Special Issue
Far-Infrared Based Pedestrian Detection for Driver-Assistance Systems Based on Candidate Filters, Gradient-Based Feature and Multi-Frame Approval Matching
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(1), 23; doi:10.3390/s16010023

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)
View Full-Text   |   Download PDF [14170 KB, uploaded 25 December 2015]   |  

Abstract

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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top