The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new longterm tracking subchallenges. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website 60 .

COVID-19 is unique in that it is spread through everyday contact with other people. Therefore, social protective measures, beyond medical protective measures, such as social distancing, lockdowns, border closures, and human tracing are initiated to control the spread of COVID-19. Such responses have produced secondary issues such as drastic changes in people's way of life and work, housing instability, economic shock, and privacy issues. This paper examines the four domains of urban and regional issues related to the secondary impact of COVID-19, including (1) social distancing, urban structure, community, and density; (2) housing affordability; (3) lockdowns, border closures, reshoring, and regional economic recovery; and (4) smart city technology, contact tracing, and privacy. The following six recommendations have been proposed. First, institutional and cultural factors are more important than urban features, such as population density. To handle infectious diseases such as COVID-19, it is important to build systems, technology, infrastructure, and urban structures that can strengthen resilience instead of implementing a directionless policy of dispersion. Second, it is necessary to improve accessibility to essential services at the community level, including medical facilities and food supply. Third, continuous effort should be made to boost housing affordability, as it is directly related to people's basic life. Fourth, measures are needed to protect those people who are socioeconomically disadvantaged. There is also the need to restore global trade and economic relations. Fifth, since data technology-based COVID-19 control raises the human tracing and privacy issue, we must ensure the principles of privacy management, such as transparency and voluntary consent, are being met. Finally, since COVID-19 is spread through people, individuals may become anxious and fearful of others without grounds; this may increase prejudice and hatred, including xenophobia. Significant social effort is needed to overcome such ill-defined anxiety and fear and maintain a healthy civil society.

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To cope with the exacerbating housing problem due to urban population increase and rapid urbanization, the number of multi-unit residential complexes (MURCs) is sharply rising. MURCs account for approximately 30% or more of housing stocks in the New York and Los Angeles metropolitan areas; and much higher in developing world, for example, 58% in Seoul, Korea. Likewise, the share of electricity consumption of MURCs in cities is increasing. Most existing literature analyzed the electricity consumption at household or house level and neglected the electricity consumption in publicly shared spaces and utilities such as outdoor lighting, parking system, elevators (vertical transportation), playgrounds, site water and sewage, management offices, security offices, and so forth. Unlike single houses, MURCs with hundreds or thousands of houses tend to be planned and built all at once, under one site plan. Therefore, urban design or site planning can crucially affect the aggregated electricity consumption at neighborhood level with different land use patterns and spatial configurations, which change light, shade, wind, heat island, reflection for individual houses and public domain. Site plan attributes can also affect residents’ choice of indoor and outdoor activities. A few simulation studies tried to examine the effect of urban design at neighborhood level, but empirical analysis can be hardly found mainly due to data limitation. This study aims to empirically investigate the effect of urban design on aggregated electricity consumption at a neighborhood level. We collected the aggregated electricity consumption data of 1122 MURCs in Seoul during the first half of 2016 and adopted the panel analysis. This study confirmed that more building coverage roads and pavements increase the aggregated electricity consumption; more green open space reduces it. Interestingly, mid-rise and mid-open plan would be the optimum design because of the effect of the number of floors. As the number of floors increases, electricity consumption for vertical transportation increases faster and offsets the benefit of high-rise and high-open plan. The study is significant, because, unlike previous studies, it empirically analyzed the collective consumption of electricity at a neighborhood level, considering the site plan features. Furthermore, this study provides evidence-based implications for sustainable urban design, especially for MURCs.