Title
Optimal feature points for tracking multiple moving objects in active camera model
Abstract
Object tracking is an important task in computer vision that is essential for higher level vision applications such as surveillance systems, human-computer interaction, industrial control, smart compression of video, and robotics. Tracking, however, cannot be easily accomplished due to challenges such as real-time processing, occlusions, changes in intensity, abrupt motions, variety of objects, and mobile platforms. In this paper, we propose a new method to estimate and eliminate the camera motion in mobile platforms, and accordingly, we propose a set of optimal feature points for accurate tracking. Experimental results on different videos show that the proposed method estimates camera motion very well and eliminate its effect on tracking moving objects. And the use of optimal feature points results in a promising tracking. The proposed method in terms of accuracy and processing time has desirable results compared to the state-of-the-art methods.
Year
DOI
Venue
2016
10.1007/s11042-015-2823-y
Multimedia Tools Appl.
Keywords
Field
DocType
Tracking,Camera motion estimation,Good features to track,KLT,Active camera
Computer vision,Active camera,Computer science,Finger tracking,Camera auto-calibration,Smart camera,Tracking system,Video tracking,Artificial intelligence,Match moving,Robotics
Journal
Volume
Issue
ISSN
75
18
1380-7501
Citations 
PageRank 
References 
1
0.35
34
Authors
2
Name
Order
Citations
PageRank
aziz karamiani110.35
Nacer Farajzadeh2405.50