An Improved Spatiogram Similarity Measure for Object Tracking
- Авторы: Guo S.1, Shi X.1
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Учреждения:
- School of Information Engineering
- Выпуск: Том 28, № 1 (2018)
- Страницы: 79-86
- Раздел: Representation, Processing, Analysis, and Understanding of Images
- URL: https://bakhtiniada.ru/1054-6618/article/view/195301
- DOI: https://doi.org/10.1134/S1054661818010169
- ID: 195301
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Аннотация
Spatiogram is a generalization of the histogram. It adds high-order spatial information so that the target can be described more precisely. It is important to choose a suitable method of measuring the similarity between two spatiograms when Spatiogram is applied to the target tracking field. However, the original similarity measure based on spatiogram has the limitation of the insufficient discriminative power. Therefore, in this paper, we propose a new spatiogram similarity measure method called BJSD (Bhattacharyya coefficient and Jensen-Shannon divergence). The similarity of the color feature and the similarity of the spatial distribution are calculated by the Bhattacharyya coefficient (BC) and Jensen-Shannon divergence (JSD). Experiments show that the improved similarity measure has better discriminative than the Conaire’s method and the tracking results are more stable and accurate than the traditional mean shift tracking method.
Об авторах
Shuqiang Guo
School of Information Engineering
Автор, ответственный за переписку.
Email: guoshuqiang@gmail.com
Китай, Jilin, 132012
Xuenan Shi
School of Information Engineering
Email: guoshuqiang@gmail.com
Китай, Jilin, 132012
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