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Yousefian Barfeh, Davood Pour; Lim, Terrence A.; Jose, Editha C.; Lansigan, Felino P.; Mendoza, Eduardo R. und Mariano, Vladimir Y. (2018): Rule-Based Multiple Target Monitoring in Robot Vision Using Partitioning. In: 2018 International Conference on Control Engineering and Artificial Intelligence (Cceai 2018), Bd. 976

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Abstract

In this study, the researchers propose an algorithm and implement it as a robot-camera which not only detects many moving objects and captures them, but also follows the moving objects to continue capturing and monitoring. The robot uses Gaussian filtering to detect all motions and then applies partitioning on the scene to obtain location of all moving objects in three major areas and different sub-areas. Based on the partitioning and position of the moving objects, the robot might be in any of unsafe state, safe state, and over-safe state. Regarding each state, the robot performs proper movement following two cardinal rules to pursue monitoring the moving objects.

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