Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …

With the growing concerns over public safety, the importance of crowd monitoring is being
realized by various security and event management agencies worldwide. Estimation of …

Abstract We propose a Cascaded Buffered IoU (C-BIoU) tracker to track multiple objects that
have irregular motions and indistinguishable appearances. When appearance features are …

Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …

This paper addresses the problem of single-target tracker performance evaluation. We
consider the performance measures, the dataset and the evaluation system to be the most …

In the year 1999 the world population reached 6 billion, doubling the previous census
estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for …

The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object
visual trackers that do not apply pre-learned models of object appearance. Results of 70 …

The effects of robotics and artificial intelligence (AI) on the job market are matters of great
social concern. Economists and technology experts are debating at what rate, and to what …

Global security concerns have raised a proliferation of video surveillance devices. Intelligent
surveillance systems seek to discover possible threats automatically and raise alerts. Being …

With the development of digital imaging techniques over the last decade, there are now new
opportunities to study complex behavioural patterns in fish (eg schooling behaviour) and to …