| 周勇钧，俞守华，区晶莹.多特征Camshift 和Kalman滤波结合的猪只智能跟踪[J].广东农业科学,2013,40(9):174-177 |
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多特征Camshift 和Kalman滤波结合的猪只智能跟踪 |
| Pig intelligent tracking based on multi-feature Camshift algorithm combined with Kalman filter |
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| DOI： |
| 中文关键词: 健康养殖 智能监控 猪只跟踪 LBP Camshift Kalman 滤波 |
| 英文关键词: healthy breeding intelligent monitoring pig tracking LBP Camshift Kalman filter |
| 基金项目:广东省科技计划项目（2012A020602043）；广东省大学生创新实验项目（1056411063） |
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| 中文摘要: |
| 为了实现猪只的智能跟踪，提出了一种多特征Camshift和Kalman滤波结合的猪只跟踪算法。首先采用最大类间方差法从背景中分割出猪只，从而统计出猪只的颜色特征和纹理特征；然后获取当前帧图像的联合特征概率分布图，利用Camshift算法求得猪只的位置；最后使用Kalman滤波预测猪只下一帧位置，实现多猪只跟踪。研究结果表明，猪只跟踪算法具有较强的鲁棒性，且更好满足实时性的要求。研究结果可为猪只健康养殖提供技术上的支持。 |
| 英文摘要: |
| In order to implement the intelligent tracking of pig, pig intelligent tracking algorithm based on multi-feature Camshift combined with Kalman filter is proposed. Firstly, Ostu method was used to divide pig from background, and add up the color feature and texture feature of pig; Then, multi-feature probability distribution of the current frame was produced, and Camshift algorithm was applied to compute pig position; Finally, the next frame爷s positions are predicted by Kalman filter for multi-pig tracking. The experimental results showed that this pigs tracking algorithm is better in term of robustness and real-time needs. This research can provide technical support for healthy breeding of pigs. |
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