The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 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 as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" shortterm tracking in RGB, (iii) VOT-LT2019 focused on longterm tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard shortterm, long-term tracking and tracking with multi-channel imagery. 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 1 .

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Research summary: This study examines how mana-

Background20 million migrant workers in China lost their jobs during the economic crisis of 2008. Both urban migration and unemployment have long been documented to be associated with vulnerability to mental problems. This study aims to examine the mental health of unemployed migrant workers in Eastern China and its relation to duration of unemployment and coping strategy during the recent economic crisis.MethodsThe data were collected through interview-based survey with a sample of 210 unemployed migrant workers in Zhejiang Province of China from 2008 to 2009. Symptom Checklist-90-Revised, Coping Strategies Questionnaire, and seven short demographic questions were used.ResultsThe majority of the unemployed migrant workers were found to be young male manufacturing industry workers with short-term unemployment and a relatively low education level. Nearly 50% of unemployed migrant workers were classified as mentally unhealthy and the most frequently reported symptom was depression. Compared with the adult norm of 1986, 2003, and 2007 in China, unemployed migrants had more mental problems. Long-term unemployed migrant workers had more psychiatric symptoms than the short-term unemployed workers and employed migrant workers. Unemployed migrant workers with immature coping strategies expressed significantly more psychiatric symptoms than those with mixed and mature coping strategies. Duration of unemployment and two coping strategies, problem-solving and self-blaming, predicted the mental problems of unemployed migrant workers.ConclusionsThe results indicated that mental health status of unemployed migrant workers in Eastern China was poorer than the national adult norm. More psychiatric symptoms are evidenced among unemployed migrant workers who lost their jobs for a long term and who had immature coping strategies. These findings can be used for prevention and intervention of mental illness among unemployed migrant workers.

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