| 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. |
