Although appearance-based trackers have been greatly improved in the last decade, they
still struggle with challenges that are not fully resolved. Of these challenges, occlusions …

This paper presents a structure-from-motion system which deliversdensestructure
information from a sequence of dense optical flows. Most traditional feature-based …

The appearance of inexpensive high-quality video cameras and depth cameras resulted in
the development of a large number of object-tracking algorithms. In this paper, a new …

Common tracking algorithms based on descriptors usually use a bounding box containing a
target for extracting of its features. Disjoint background noise inside of the box strongly …

Nowadays, distributed smart cameras are deployed for a wide set of tasks in several
application scenarios, ranging from object recognition, image retrieval, and forensic …

Object tracking method based on Siamese Network has shown great performance, which
expressed the tracking problem as dependency relationship between target template x and …

Recent advances in visual object tracking mainly concentrate on RGB data. With the
availability of depth sensors that capture spatial information, trackers that consider RGBD …

Появление недорогих и качественных видеокамер и камер глубины привело к
созданию большого количества алгоритмов слежения за объектами. В данной статье …

Occlusions, one of the most challenging problems in visual tracking, degrade the
performance of many trackers significantly. Taking various spatial and temporal forms …

Although appearance-based trackers have been greatly improved in the last decade, they
are still struggling with some challenges that are not fully resolved. Of these challenges …