4 March 2015 Detecting moving objects under a moving camera in complex environments
Author Affiliations +
Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94430I (2015) https://doi.org/10.1117/12.2179144
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
Robust detection of moving objects in image sequences is an essential part of many vision applications. However, it is not easily achievable with a moving camera since the camera and moving objects motions are mixed together. In this paper we propose a method to detect moving objects under a moving camera. The camera ego-motion is compensated by the corresponding feature sets. The difference image between two consecutive images that ego-motion is compensated is transformed into a binary image using k-means algorithm. According to the clustering results, the region of interest where moving objects are likely to exist is searched by the projection approach. Then local threshold and contour filling methods are applied to detect the accurate moving objects. Experimental results on real image sequences demonstrate that our method can get intact moving objects in the case of a moving camera efficiently.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Genyuan Zhang, Genyuan Zhang, Qin Yu, Qin Yu, Sisi Yang, Sisi Yang, Hong Zhou, Hong Zhou, } "Detecting moving objects under a moving camera in complex environments", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430I (4 March 2015); doi: 10.1117/12.2179144; https://doi.org/10.1117/12.2179144
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Video inpainting using scene model and object tracking
Proceedings of SPIE (February 19 2013)
A new strategy based on adaptive mixture of Gaussians for...
Proceedings of SPIE (February 26 2008)
Automated counting of pedestrians
Proceedings of SPIE (September 16 1994)
Fast and robust image mosaicking for monocular video
Proceedings of SPIE (May 25 2005)

Back to Top