AN AUTOMATIC VEHICLE IDENTIFICATION MECHANISM USING A DISTRIBUTED PROCESSING SYSTEM
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): DONG RYEOL SHIN , EARL KIM , JUN HEON KIM , BEOM SU LEE , KEE HYUN CHOI
Abstract: Currently, vehicle related studies are activated due to the increase of vehicle. Thus, the technology using computer vision is being studied to identify the vehicle's information. It enables automatically identify the vehicle number. The image processing rate, however, is limited to the speed of data processing, and its inefficiency of processing is increase gradually. Therefore, in this paper we propose a method to enhance the efficiency of the processing using HDFS and distributed processing system.
- Publication Date: 26-Feb-2017
- DOI: 10.15224/978-1-63248-117-7-59BEOM SU LEE
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A NOBLE GESTURES CONTROL SYSTEM USING MACHINE LEARNING
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): DONG RYEOL SHIN , EARL KIM , JANG YEOL LEE , JUN HEON KIM , CHOONSUNG NAM
Abstract: In this paper, we propose a method to improve the recognition rate of gestures motion and scalability problem which can occur in gestures when operate drone using machine learning. For these purposes, the gestures data transmitted from the drone controller are used for machine learning on real time, and a new learning model is periodically created using the gestures data stored in the HDFS(Hadoop Distributed File System). The goal of our proposed system is to increase the recognition rate of the gestures motion when new learning model is created. In addition, it is possible to expect enhanced scalability through recognition of gestures motion, and that drone is able to recognize a new gestures motion which is not defined in the server.
- Publication Date: 26-Feb-2017
- DOI: 10.15224/978-1-63248-117-7-60
- Views: 0
- Downloads: 0