Monitoring of pigs is currently done by humans observing pig pens to acquire information such as behaviour to back certain actions such as regulation of temperature. These actions can have vital outcomes, as taking the wrong action or not taking an action, can result in fatalities. A vision-based system to automatically monitor pigs, therefore, has the potential of improving the welfare of pigs and enhancing the pig industry. This work investigates such a system and demonstrates several modules that can be utilized to obtain behavioural information and how such information can be interpreted. Moreover, the utilized system modules and side-view data will be evaluated. The code is public and available at: https://github.com/KHML-master/apimos.
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