Despite significant advances and innovations in deep network-based vehicle detection
methods, finding a balance between detector accuracy and speed remains a significant …

The existing traffic light control systems are inefficient due to the usage of predefined
algorithms on offline data. This causes in numerous problems such as long delays and a …

Nowadays, the strong development of the economy and society has driven the increase in
traffic participation, making traffic management increasingly difficult. To effectively address …

Traffic Surveillance System (TSS) plays an important role in extracting necessary information
(count, type, speed, etc.). In the area of Traffic Surveillance System (TSS), vehicle detection …

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

The main goal of traffic surveillance systems (TSSs) is to extract useful traffic information by
analyzing signals from cameras. This paper presents a system for vehicle detection and …

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 …

Vehicle type recognition has many applications in video surveillance, urban traffic
management and automatic driving. This paper presents a new vehicle type recognition …

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 …