Abstract | ||
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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 |
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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 karamiani | 1 | 1 | 0.35 |
Nacer Farajzadeh | 2 | 40 | 5.50 |