Abstract
In this paper we present a semi-automatic technique for moving objects segmentation and tracking. Clustering as a segmentation method has been used for many applications. The problem of clustering in many segmentation methods is a need of high performance and low computational cost. We proposed the Fuzzy C-Means method for clustering moving objects. To evaluate the performance, we compare FCM against K-Means and SOM algorithm. Semi-automatic used by human for create image ground truth for measure performance by MSE and PSNR. Based on experiment the MSE of Fuzzy C-Means is lower than K-Means and SOM. Also PSNR of FCM is higher than K-Means and SOM. The result proved that Fuzzy C-Means is promising to cluster pixels in moving objects segmentation.
Original language | English |
---|---|
Publication status | Published - 2015 |
Event | 2015 5th International Workshop on Computer Science and Engineering: Information Processing and Control Engineering, WCSE 2015-IPCE - Moscow, Russian Federation Duration: 15 Apr 2015 → 17 Apr 2015 |
Conference
Conference | 2015 5th International Workshop on Computer Science and Engineering: Information Processing and Control Engineering, WCSE 2015-IPCE |
---|---|
Country/Territory | Russian Federation |
City | Moscow |
Period | 15/04/15 → 17/04/15 |
Keywords
- Fuzzy c-means
- Moving object segmentation
- Semi-automatic