Recent optical flow estimators usually employ deep models designed for image
classification as the encoders for feature extraction and matching. However, those encoders …

Video surveillance is an effective way to record current events. In view of the difficulty of
efficient transmission of massive surveillance video and the risk of leakage in the …

In the present day, for the purpose of social security, video surveillance frameworks are
utilized in public places such as metro stations, temples, shopping malls, stadiums and so …

During the last decade, visual monitoring has gained an increasing interest especially in the
field of smart cities and intelligent transportation systems. This paper describes a feature …

Due to the large difference between normal conditions and damaged road images, geo-
location in damaged areas often fails due to occlusion or damage to buildings and iconic …

Road alignment is one of the main factors affecting traffic safety. The vehicle driving trace is
the main basis of road alignment design, which has the geometric characteristics of ride …

This paper analyzes the socialist core values and explores the contemporary characteristics
and values of socialist core values under the background of big data. On this basis, in order …

Keypoint feature extraction algorithms based on manual feature rely on the professional
domain knowledge of the designer, and usually perform well in depicting the detail of an …

In this paper, for the problem that micro-visual measurement is more easily interfered with by
light and noise, and measurement is easily limited by camera resolution and cost, a …