| Autor: |
Il-Young Lee, Jae-Pil Ko, Sung-Hyun Kim, Jung-Ho Ahn |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
Journal of Korea Multimedia Society. 15:986-995 |
| ISSN: |
1229-7771 |
| DOI: |
10.9717/kmms.2012.15.8.986 |
| Popis: |
In this paper we propose a real-time moving object tracking method on a smart phone camera. By considering the limit of non-learning approach on low-performance platforms, we use the sliding-window detection technique based on histogram features. We solve the problem of the time-consuming histogram computation on each sub-window by adapting the integral histogram. For additional speed and tracking performance, we propose a new adaptive bin method. From the experiments on our dataset, we achieved high speed performance demonstrating 34~63 frames per second. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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