Fish-eye cameras have long been employed in traffic surveillance systems to allow for wider
observation of the roads. Despite their widespread use limited computer vision research is …

Since the high randomness feature of traffic flows, it is challenging to be aware of the spatial-
temporal characteristics of dynamic vehicle loads on a long-span bridge. Compared with …

Real-time monitoring of the spatiotemporal distribution of vehicle weights on bridge decks is
an important component of bridge structural health monitoring systems. However, it is still a …

This paper presents the real time vehicle detection and tracking system, based on data,
collected from a single camera. In this system, vehicles are detected by using Haar Feature …

In this study, specifically for the detection of ripe/unripe tomatoes with/without defects in the
crop field, two distinct methods are described and compared from captured images by a …

Vehicle detection and classification is an essential application in traffic surveillance system
(TSS). However, recognizing moving vehicle at nighttime is more challenging because of …

Vehicles detection and classification are the most popular subjects in the computer vision
researching field, and also are the most important parts in any traffic monitoring or …

Optical flow is the pattern that represents the motion of objects, edges, surfaces in real world
by using displacement vectors or color flow. Application of optical flow is used in various …

In the area of intelligent traffic system, vehicle classification has emerged as a significant
field of study. There has been a considerable amount of research to accommodate this …

In the traffic surveillance system (TSS), there are many factors affect the qualities of the
result. Through practical application, it is difficult to determine which scene changing during …