RAT: Robust animal tracking

Rana Farah, J. Langlois, Guillaume-Alexandre Bilodeau
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引用次数: 9

Abstract

Determining the motion pattern of laboratory animals is very important in order to monitor their reaction to various stimuli. In this paper, we propose a robust method to track animals, and consequently determine their motion pattern. The method is designed to work under uncontrolled normal laboratory conditions. It consists of two steps. The first step tracks the animal coarsely, using the combination of four features, while the second step refines the boundaries of the tracked area, in order to fit more precisely the boundaries of the animal. The method achieves an average tracking error smaller than 5% for our test videos.
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老鼠:强大的动物追踪
为了监测实验动物对各种刺激的反应,确定实验动物的运动模式是非常重要的。在本文中,我们提出了一种鲁棒的方法来跟踪动物,从而确定它们的运动模式。该方法设计用于在不受控制的正常实验室条件下工作。它包括两个步骤。第一步使用四个特征的组合粗略地跟踪动物,而第二步细化跟踪区域的边界,以便更精确地拟合动物的边界。对于我们的测试视频,该方法实现了小于5%的平均跟踪误差。
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