Evaluation of foreground detection methodology for a moving camera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Detection of moving objects is one of the key steps for vision based applications. Many previous works leverage background subtraction using background models and assume that image sequences are captured from a stationary camera. These methods are not directly applied to image sequences from a moving camera because both foreground and background objects move with respect to the camera. One of the approaches to tackle this problem is to estimate background movement by computing pixel correspondences between frames such as homography. With this approach, moving objects can be detected by using existing background subtraction. In this paper, we evaluate detection of foreground objects for image sequences from a moving camera. Especially, we focus on homography as a camera motion. In our evaluation we change the following parameters: changing feature points, the number of them and estimation methods of homography. We analyze its effect on detection of moving objects in regard to detection accuracy, processing time. Through experiments, we show requirement of background models in image sequences form a moving camera.

Original languageEnglish
Title of host publication2015 Frontiers of Computer Vision, FCV 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479917204
DOIs
Publication statusPublished - May 7 2015
Event2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015 - Mokpo, Korea, Republic of
Duration: Jan 28 2015Jan 30 2015

Publication series

Name2015 Frontiers of Computer Vision, FCV 2015

Other

Other2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015
CountryKorea, Republic of
CityMokpo
Period1/28/151/30/15

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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