… UAVs) as a video surveillance camera for traffic condition provides accuracy of … detection
of a car accident, namely, 0.0461 seconds with a probability of 90.02%. The accident detection …

… [21] have used real-time video footage of traffic surveillance systems to construct histogram
of flow gradient (HFG). The HFG features are used as inputs to develop the statistical logistic …

… For accident detection, we need to choose the 𝛼 to encode much motion information as
possible. Meanwhile, 𝛼 also describes the transparency of contributed frames. Figure 5 shows …

… the autonomous detection of a road traffic incident by exploiting road surveillance camera
… For the detection of traffic congestion, a novel Fuzzy based traffic analyzer is presented in …

… traffic data and detect abnormal activities occurring in the public. Information from GPS,
Surveillance cameras, traffic … , we propose a method to detect traffic accidents and used a deep …

… for traffic surveillance in India. In first scenario, the system will consist of a camera with a
processing device (can be PC or small PCB). The camera in our system will be on traffic light as …

… INTRODUCTION NOWADAYS, traffic surveillance is an important civilian application to …
In the framework of traffic surveillance, an outstanding issue is the speed control on roadways. …

… For the victims, an accident acts as a catastrophic condition in the … accident detection has
been developed to detect accidents on … accident detection has been designed for traffic road …

… The study used GAN and Flownet [8] to predict future frames to detect abnormal behavior in
… to detect traffic accident in black box videos based on GAN. The detection on the accidents is …