Most of the intelligent surveillances in the industry only care about the safety of the workers.It is meaningful if the camera can know what,where and how the worker has performed the action in real time.In this paper...Most of the intelligent surveillances in the industry only care about the safety of the workers.It is meaningful if the camera can know what,where and how the worker has performed the action in real time.In this paper,we propose a light-weight and robust algorithm to meet these requirements.By only two hands'trajectories,our algorithm requires no Graphic Processing Unit(GPU)acceleration,which can be used in low-cost devices.In the training stage,in order to find potential topological structures of the training trajectories,spectral clustering with eigengap heuristic is applied to cluster trajectory points.A gradient descent based algorithm is proposed to find the topological structures,which reflects main representations for each cluster.In the fine-tuning stage,a topological optimization algorithm is proposed to fine-tune the parameters of topological structures in all training data.Finally,our method not only performs more robustly compared to some popular offline action detection methods,but also obtains better detection accuracy in an extended action sequence.展开更多
In the era of artificial intelligence,teachers’subjectivity presents new characteristics,such as the interweaving of virtual and reality,the integration of individual and groups,and the coexistence of exuberance and ...In the era of artificial intelligence,teachers’subjectivity presents new characteristics,such as the interweaving of virtual and reality,the integration of individual and groups,and the coexistence of exuberance and disorientation.While reshaping teachers’subjectivity,intelligent technologies also easily make teachers fall into the subjectivity dilemmas,such as self-crisis,distortion of interaction,and alienation of action.Therefore,to reinstate teachers’subjectivity,it is necessary to know oneself in pursuit of truth by sticking to the nature of life,to become oneself by constructing the nature of choice in practical activities,and to achieve oneself by returning to the nature of creation in lifelong learning.展开更多
基金Our research has been supported in part by National Natural Science Foundation of China under Grants 61673261 and 61703273.We gratefully acknowledge the support from some companies.
文摘Most of the intelligent surveillances in the industry only care about the safety of the workers.It is meaningful if the camera can know what,where and how the worker has performed the action in real time.In this paper,we propose a light-weight and robust algorithm to meet these requirements.By only two hands'trajectories,our algorithm requires no Graphic Processing Unit(GPU)acceleration,which can be used in low-cost devices.In the training stage,in order to find potential topological structures of the training trajectories,spectral clustering with eigengap heuristic is applied to cluster trajectory points.A gradient descent based algorithm is proposed to find the topological structures,which reflects main representations for each cluster.In the fine-tuning stage,a topological optimization algorithm is proposed to fine-tune the parameters of topological structures in all training data.Finally,our method not only performs more robustly compared to some popular offline action detection methods,but also obtains better detection accuracy in an extended action sequence.
文摘In the era of artificial intelligence,teachers’subjectivity presents new characteristics,such as the interweaving of virtual and reality,the integration of individual and groups,and the coexistence of exuberance and disorientation.While reshaping teachers’subjectivity,intelligent technologies also easily make teachers fall into the subjectivity dilemmas,such as self-crisis,distortion of interaction,and alienation of action.Therefore,to reinstate teachers’subjectivity,it is necessary to know oneself in pursuit of truth by sticking to the nature of life,to become oneself by constructing the nature of choice in practical activities,and to achieve oneself by returning to the nature of creation in lifelong learning.
