Modelling of Fish Swimming Patterns Using an Enhanced Object Tracking Algorithm
作者： Poh Lee Wong , Mohd Azam Osman , Abdullah Zawawi Talib , Khairun Yahya
DOI: 10.1007/978-3-642-27552-4_79
关键词:
摘要: Modelling of fish swimming patterns has long been a challenge for the aquaculture community. In this proposed work, modeling and water condition such as pH, temperature dissolved oxygen in tanks are analysed using network cameras sensors. An enhanced object tracking algorithm consisting combination motion detection condensation is applied to detect change speed vector movement fishes viewing field. addition, research proposes an intelligent real-time monitoring tool provide alert signals quality healthy level fishes.
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