A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation
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 sequenc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran Telecom Research Center
2012-09-01
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| Series: | International Journal of Information and Communication Technology Research |
| Subjects: | |
| Online Access: | http://ijict.itrc.ac.ir/article-1-181-en.html |
| _version_ | 1811169322874175488 |
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| author | Ebrahim Emami Mahmood Fathy |
| author_facet | Ebrahim Emami Mahmood Fathy |
| author_sort | Ebrahim Emami |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T16:40:31Z |
| format | Article |
| id | doaj.art-d93109cbc1254ad982197674332d9d63 |
| institution | Directory Open Access Journal |
| issn | 2251-6107 2783-4425 |
| language | English |
| last_indexed | 2024-04-10T16:40:31Z |
| publishDate | 2012-09-01 |
| publisher | Iran Telecom Research Center |
| record_format | Article |
| series | International Journal of Information and Communication Technology Research |
| spelling | doaj.art-d93109cbc1254ad982197674332d9d632023-02-08T07:32:18ZengIran Telecom Research CenterInternational Journal of Information and Communication Technology Research2251-61072783-44252012-09-014399106A Visual Tracking Algorithm Based on CAMShift and Motion SegmentationEbrahim Emami0Mahmood Fathy1 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.http://ijict.itrc.ac.ir/article-1-181-en.htmltarget trackingcamshiftmotion segmentationmean-shiftprobability distribution image |
| spellingShingle | Ebrahim Emami Mahmood Fathy A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation International Journal of Information and Communication Technology Research target tracking camshift motion segmentation mean-shift probability distribution image |
| title | A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation |
| title_full | A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation |
| title_fullStr | A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation |
| title_full_unstemmed | A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation |
| title_short | A Visual Tracking Algorithm Based on CAMShift and Motion Segmentation |
| title_sort | visual tracking algorithm based on camshift and motion segmentation |
| topic | target tracking camshift motion segmentation mean-shift probability distribution image |
| url | http://ijict.itrc.ac.ir/article-1-181-en.html |
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