Paper Info
Title
Shape and Color Object Tracking for Real-Time Robotic Navigation.
Abstract
This paper presents a real-time approach for single-colored ball detection and tracking. The approach consists of two main phases. In a first offline calibration phase, the intrinsic parameters of the camera and the radial distortion are estimated, and a classification of colors is learned from a sample image of colored balls. The second phase consists of four main steps: (1) color segmentation of the input image into several regions based on the offline classification, (2) robust estimation of the circle parameters (3) refinement of the circle parameters, and (4) ball tracking. The experimental results showed that the approach presents a good compromise between suitability for real-time navigation and robustness to occlusions, background congestion and colors interference in the scene.
Year
Venue
Field
2014
CoRR
Distortion (optics),Computer vision,Colored,Pattern recognition,Computer science,Segmentation,Ball (bearing),Robustness (computer science),Video tracking,Artificial intelligence,Interference (wave propagation),Calibration
DocType
Volume
Citations 
Journal
abs/1410.3970
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Haythem Ghazouani143.46