Image and Graphics, International Conference on (2013)
Qingdao, China China
July 26, 2013 to July 28, 2013
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIG.2013.67
In this paper, we will present a novel algorithm for detecting moving objects from relatively dynamic background in particular video sequences. To achieve our goal, we introduced a new conception called "feature super pixel". As is well known, by tracking feature points we can easily tell whether a feature point belongs to moving object or not. However, it's more difficult to obtain an optimal pixel-wise foreground and background labeling. Considering the assumption that pixels in the same super pixel belong to the same object, this paper designed a method to describe and match super pixels, which has been proved to be efficient in experiments.
Trajectory, Cameras, Image segmentation, Algorithm design and analysis, Heuristic algorithms, Computer vision, Pattern recognition
Q. Liao, N. Yu and B. Liu, "Moving Object Detection for Moving Cameras on Superpixel Level," 2013 Seventh International Conference on Image and Graphics (ICIG), Qingdao, China, 2013, pp. 307-312.