International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1391
6
1
gregorian
2012
9
1
4
3
online
1
fulltext
fa
A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation
فناوری اطلاعات
Information Technology
پژوهشي
Research
<p>Continuously adaptive mean-shift (CAMShift) is an efficient and light-weight tracking algorithm firstly developed based on mean-shift to track human face in a perceptual user interface. CAMShift tracks a target by searching for the most similar areas to the target region in frames of a video sequence in regard to its reference color histogram. While color based CAMShift is suitable for tracking targets in simple cases, it fails to track objects in more complex situations. In this paper we review our low cost extension to improve the traditional CAMShift algorithm. Combining the original algorithm with simple motion segmentation techniques, we proposed an improved CAMShift algorithm to cope with CAMShift`s tracking problems. We have evaluated the efficiency of our approach through analyzing our tracking results. We have compared our results with other tracking algorithms in various tracking scenarios.</p>
Target tracking, CAMShift, motion segmentation, mean-shift, probability distribution image
99
106
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-154&slc_lang=fa&sid=1
Ebrahim
Emami
1003194753284600515
1003194753284600515
Yes
Mahmood
Fathy
1003194753284600516
1003194753284600516
No