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 long-term 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 (http://votchallenge.net).
NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (autonoma system) (hsv//swe)
NATURAL SCIENCES -- Computer and Information Science -- Computer Vision and Robotics (Autonomous Systems) (hsv//eng)
NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (datalogi) (hsv//swe)
NATURAL SCIENCES -- Computer and Information Science -- Computer Science (hsv//eng)