Detecting coherent groups is fundamentally important for crowd behavior analysis. In the
past few decades, plenty of works have been conducted on this topic, but most of them have …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …

The performance of single cue object tracking algorithms may degrade due to complex
nature of visual world and environment challenges. In recent past, multicue object tracking …

The use of multiple features has been shown to be an effective strategy for visual tracking
because of their complementary contributions to appearance modeling. The key problem is …

As a new method of Earth observation, video satellite is capable of monitoring specific
events on the Earth's surface continuously by providing high-temporal resolution remote …

Group detection is fundamentally important for analyzing crowd behaviors, and has attracted
plenty of attention in artificial intelligence. However, existing works mostly have limitations …

With a large number of video surveillance systems installed for the requirement from
industrial security, the task of object tracking, which aims to locate objects of interest in …

To intelligently analyze and understand video content, a key step is to accurately perceive
the motion of the interested objects in videos. To this end, the task of object tracking, which …

Object tracking is a popular topic in the field of computer vision. The detailed spatial
information provided by a very high resolution remote sensing sensor makes it possible to …

The low-cost depth cameras have facilitated the research of human action recognition in the
last decades. Despite various approaches have been presented to improve the recognition …