OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS
Three versions of a histogram algorithm for tracking objects on video sequences made by an unstable camera are presented. Local color 1D-histograms of pixels and local color 2D-histograms of pairs of adjacent pixels are used in all versions as region features. The histograms are compared by the Bhat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2016-09-01
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| Series: | Informatika |
| Online Access: | https://inf.grid.by/jour/article/view/16 |
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| _version_ | 1849243334073122816 |
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| author | B. A. Zalesky E. N. Seredin M. V. Yadlouski |
| author_facet | B. A. Zalesky E. N. Seredin M. V. Yadlouski |
| author_sort | B. A. Zalesky |
| collection | DOAJ |
| description | Three versions of a histogram algorithm for tracking objects on video sequences made by an unstable camera are presented. Local color 1D-histograms of pixels and local color 2D-histograms of pairs of adjacent pixels are used in all versions as region features. The histograms are compared by the Bhattacharia criterion. А parallel computing platform CUDA, developed to program GPUs, allows creation of real time or near-real time program realizations of the offered versions. Results of comparison of the versions with the known mean shift algorithm and correlation type algorithms are also presented. It is shown by experiments that the versions are more accurate and reliable than the mean shift algorithm, which estimates similarity of linear approximations of local histograms, and more robust with respect to the video quality than the correlation algorithms. |
| format | Article |
| id | doaj-art-6ffd4adb5c3d4130bd45568fa24daf7f |
| institution | Kabale University |
| issn | 1816-0301 |
| language | Russian |
| publishDate | 2016-09-01 |
| publisher | National Academy of Sciences of Belarus, the United Institute of Informatics Problems |
| record_format | Article |
| series | Informatika |
| spelling | doaj-art-6ffd4adb5c3d4130bd45568fa24daf7f2025-08-20T03:59:31ZrusNational Academy of Sciences of Belarus, the United Institute of Informatics ProblemsInformatika1816-03012016-09-0102223015OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMSB. A. Zalesky0E. N. Seredin1M. V. Yadlouski2Объединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиThree versions of a histogram algorithm for tracking objects on video sequences made by an unstable camera are presented. Local color 1D-histograms of pixels and local color 2D-histograms of pairs of adjacent pixels are used in all versions as region features. The histograms are compared by the Bhattacharia criterion. А parallel computing platform CUDA, developed to program GPUs, allows creation of real time or near-real time program realizations of the offered versions. Results of comparison of the versions with the known mean shift algorithm and correlation type algorithms are also presented. It is shown by experiments that the versions are more accurate and reliable than the mean shift algorithm, which estimates similarity of linear approximations of local histograms, and more robust with respect to the video quality than the correlation algorithms.https://inf.grid.by/jour/article/view/16 |
| spellingShingle | B. A. Zalesky E. N. Seredin M. V. Yadlouski OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS Informatika |
| title | OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS |
| title_full | OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS |
| title_fullStr | OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS |
| title_full_unstemmed | OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS |
| title_short | OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS |
| title_sort | object tracking via comparison of color histograms |
| url | https://inf.grid.by/jour/article/view/16 |
| work_keys_str_mv | AT bazalesky objecttrackingviacomparisonofcolorhistograms AT enseredin objecttrackingviacomparisonofcolorhistograms AT mvyadlouski objecttrackingviacomparisonofcolorhistograms |