MyJournals Home  

RSS FeedsSensors, Vol. 19, Pages 4344: Unsupervised Moving Object Segmentation from Stationary or Moving Camera based on Multi-frame Homography Constraints (Sensors)

 
 

8 october 2019 20:03:13

 
Sensors, Vol. 19, Pages 4344: Unsupervised Moving Object Segmentation from Stationary or Moving Camera based on Multi-frame Homography Constraints (Sensors)
 




Moving object segmentation is the most fundamental task for many vision-based applications. In the past decade, it has been performed on the stationary camera, or moving camera, respectively. In this paper, we show that the moving object segmentation can be addressed in a unified framework for both type of cameras. The proposed method consists of two stages: (1) In the first stage, a novel multi-frame homography model is generated to describe the background motion. Then, the inliers and outliers of that model are classified as background trajectories and moving object trajectories by the designed cumulative acknowledgment strategy. (2) In the second stage, a super-pixel-based Markov Random Fields model is used to refine the spatial accuracy of initial segmentation and obtain final pixel level labeling, which has integrated trajectory classification information, a dynamic appearance model, and spatial temporal cues. The proposed method overcomes the limitations of existing object segmentation algorithms and resolves the difference between stationary and moving cameras. The algorithm is tested on several challenging open datasets. Experiments show that the proposed method presents significant performance improvement over state-of-the-art techniques quantitatively and qualitatively.


Del.icio.us Digg Facebook Google StumbleUpon Twitter
 
51 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 19, Pages 4345: Gold-Film-Thickness Dependent SPR Refractive Index and Temperature Sensing with Hetero-Core Optical Fiber Structure (Sensors)
Sensors, Vol. 19, Pages 4343: An Amplifier-Less Acquisition Chain for Power Measurements in Series Resonant Inverters (Sensors)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics

Use these buttons to bookmark us:
Del.icio.us Digg Facebook Google StumbleUpon Twitter


Valid HTML 4.01 Transitional
Copyright © 2008 - 2019 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn