{"652397":{"#nid":"652397","#data":{"type":"event","title":"PhD Proposal by Zhuangdi \u0022Andy\u0022 Xu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;A Geo-distributed Camera System at the Edge of the Network\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhuangdi \u0026quot;Andy\u0026quot; Xu\u003Cbr \/\u003E\r\nPh.D. Student, Computer Science\u003Cbr \/\u003E\r\nSchool of Computer Science\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate\u003C\/strong\u003E: Thursday, Nov 4, 2021\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETime\u003C\/strong\u003E: 9:00am-11:00am (ET)\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation\u003C\/strong\u003E\u0026nbsp;(virtual):\u0026nbsp;\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/661409279\/0222\u0022\u003Ehttps:\/\/bluejeans.com\/661409279\/0222\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EProposal Committee:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nDr. Ramachandran, Umakishore (advisor, School of Computer Science, Georgia Institute of Technology)\u003Cbr \/\u003E\r\nDr. Arulraj, Joy (School of Computer Science, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr.\u0026nbsp;Tumanov, Alexey (School of Computer Science, Georgia Institute of Technology)\u003Cbr \/\u003E\r\nDr. Rehg, James M (School of Interactive Computing, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ubiquity of cameras in our environment and advances in computer vision have enabled novel applications combining sensing, processing, and actuation. These camera-based applications span a variety of domains, including safety, retail, and transportation. Since many of these applications are latency-sensitive and network bandwidth-hungry, in addition to being geo-distributed, edge computing has emerged as a new trend in catering to their computational needs. Meanwhile, low-cost processing resources such as Raspberry Pi and Google Coral TPU are enabling just-in-time processing of camera streams close to their sources. Thus, there is a perfect storm of technology enablers that could all benefit from a comprehensive geo-distributed architecture for smart camera systems at the edge of the network.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing an exemplar application, namely, space-time vehicle tracking at video ingestion time, we build our dissertation research that presents a scalable system architecture for smart camera networks that contain the following four components:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003EThe on-device processing pipeline involves video analytics tasks such as object detection and classification.\u003C\/li\u003E\r\n\t\u003Cli\u003EHorizontal coordination is responsible for the communication protocol between cameras.\u003C\/li\u003E\r\n\t\u003Cli\u003ECamera topology management handles the camera failures and the addition of new cameras on the fly.\u003C\/li\u003E\r\n\t\u003Cli\u003EVisual data management stores the video and intermediate results that can\u0026nbsp;serve other applications in the future.\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThis dissertation presents the design and implementation of these four system components for a geo-distributed smart camera system.\u0026nbsp;We evaluate our prototype implementation using a real-world testbed built upon five roadside\u0026nbsp;cameras on the Gatech campus and synthetic video analytics workloads built\u0026nbsp;upon UA-DETRAC and Jackson.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A Geo-distributed Camera System at the Edge of the Network"}],"uid":"27707","created_gmt":"2021-11-03 13:29:05","changed_gmt":"2021-11-03 13:29:05","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-11-04T10:00:00-04:00","event_time_end":"2021-11-04T13:00:00-04:00","event_time_end_last":"2021-11-04T13:00:00-04:00","gmt_time_start":"2021-11-04 14:00:00","gmt_time_end":"2021-11-04 17:00:00","gmt_time_end_last":"2021-11-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}