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Design and implementation of video conference system with object tracking for distance learning

Bandung Y.a, Mutijarsa K.a, Subekti L.B.a

a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.As the development of internet technology and the growth of education needs, implementation of video conference service for distance learning has become common. To increase user experiences and participant engagements during distance learning activity, we propose an integration of object tracking technology within video conference system. This integration aims to provide better captured video content which can be automatically focused on key objects or individuals in a learning activity such as whiteboard, teacher or students. This system can eliminate the need of camera operator and improve quality of distance learning service. Video conference system is built as a dedicated system implemented on mini-PC device. Video conference application is based on WebRTC technology and designed to support multiple video input devices. TLD (Tracking, Learning, and Detection) is being used as the base of object recognition algorithm while Arduino is used as main component on camera driver module.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Arduino,Design and implementations,Internet technology,Learning Activity,Object recognition algorithm,Object Tracking,Video conference systems,WebRTC[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Arduino,distance learning,object tracking,video conference system,WebRTC[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]ACKNOWLEDGMENT This research received support from PUPT research program hold by Ministry of Research, Technology and Higher Education of the Republic of Indonesia. The authors also thank Tommy Wijaya, Rizka Risyad, and Mario Fredricko as research students at Information Technology Research Group of ITB who help realization of the system.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ISESD.2017.8253296[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]