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首页> 外文会议>IEEE International Conference on Robotic Computing >Person Re-Identification in Human Following Scenarios: An Experience with RGB-D Cameras
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Person Re-Identification in Human Following Scenarios: An Experience with RGB-D Cameras

机译：人类在人类之后重新识别：与RGB-D相机的经验

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摘要

In order to acquire socially acceptable behaviors and seamlessly interact with humans, robots must employ robust solutions to identify, track and follow the interacting person in common environments. Robots nowadays typically are equipped with a camera which can be used to perform body as well as face recognition. However, as the person moves in the environment, the robot might lose track of the individual, e.g., behind corners or obstacles. We report our experience in the design and implementation of a solution that is able to track and follow a target person and that can re-identify the target if the line of sight is obstructed temporarily during following. Our initial experimentation highlights the impact of the employed sensor and the environment in which the person moves on the accuracy with which a persons can be re-identified in practice.
机译：为了获得社会可接受的行为并与人类无缝互动，机器人必须采用强大的解决方案来识别，跟踪和遵循共同环境中的交互。现在，机器人通常配备有一个可用于执行身体以及面部识别的相机。然而，随着该人在环境中移动，机器人可能会失去个人的轨迹，例如，在角落或障碍物后面。我们在能够跟踪和遵循目标人物的解决方案的设计和实施方面报告了我们的经验，并且如果在下面暂时暂时阻碍了视线，则可以重新识别目标。我们的初步实验突出了采用的传感器和该人对人们在实践中重新识别的准确性的影响的影响。

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