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In recent years, in the surveillance system which observes the behavior of human invasion to building or indoor, it is required not only to capture the high quality and wide area image, but also to automatically track to the specific suspicious person in real-time to reduce the number of the required surveillance cameras. While these installations have included a number of video streams, they have...
In recent years, in the surveillance system which observes the behavior of human invasion to building or indoor, it is required not only to capture the high quality and wide area image, but also to automatically track to the specific suspicious person in real-time to reduce the number of the required surveillance cameras. While these installations have included a number of video streams, they have...
Precision positioning technology with high speed on an X-Y plane requires to a manufacturing inspection for semiconductor and flat display areas, and so on. The authors proposed a new actuator called ldquoNano-Motion Actuator (NMA)rdquo for track following on a spin-stand that evaluated magnetic heads and media for high density magnetic recording. We applied technologies of the NMA to a new actuator...
We propose a method for enhancing the stability of tracking people by incorporating long-term observations of human actions in a scene. Basic human actions, such as walking or standing still, are frequently observed at particular locations in an observation scene. By observing human actions for a long period of time, we can identify regions that are more likely to be occupied by a person. These regions...
We propose a fast and robust method for tracking a user's hand and multiple fingertips; we then demonstrate gesture recognition based on measured fingertip trajectories for augmented desk interface systems. Our tracking method is capable of tracking multiple fingertips in a reliable manner even in a complex background under a dynamically changing lighting condition without any markers. First, based...
Introduces a method for tracking a user's hand in 3D and recognizing the hand's gesture in real time without the use of any invasive devices attached to the hand. Our method uses multiple cameras for determining the position and orientation of a user's hand moving freely in a 3D space. In addition, the method identifies pre-determined gestures in a fast and robust manner by using a neural network...
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