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 …

Surveillance systems employ object tracking methods, a class of automatic data analysis
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …

Object tracking in video has been an active research for decades. This interest is motivated
by numerous applications, such as surveillance, human-computer interaction, and sports …

Bitumen in the oil sands industry is separated from sand using a water-based gravity
separation process in a primary separation vessel (PSV). The interface between the froth …

Kernel based trackers have been proven to be a promising approach in video object
tracking. The use of single kernel often suffers from occlusion since the visual information is …

Visual object tracking is among the hardest problems in computer vision, as trackers have to
deal with many challenging circumstances such as illumination changes, fast motion …

In traffic surveillance videos, it is common that the vehicles are occluded partially by each
other. Such kind of occlusion situation is a challengeable task in multiple vehicles tracking …

one of the active research areas in the field of Computer Vision in today's era is recognizing
human activity under video surveillance. To resolve suspicious activity, sensitive and public …

Traffic flow prediction is a crucial research area in traffic management. Accurately predicting
traffic flow in each area of the city over the long term can enable city managers to make …

Developing a childcare assisting system is highly necessary due to the lack of nursery
teachers, and it will make an important progress on effective utilization of nursery teacher …