… Further, we demonstrate that our approaches can be executed in real-time and at a frame …
our computer vision-based two-stream architecture for real-time nearaccident detection. The …

… dataset, and 120-s-incident dataset, respectively. We want to build a real-time traffic incident
detection model that can detect an incident immediately after it happens; however, these …

… -by accidents using computer vision techniques … -based solution for real-time construction
vehicle detection has been proposed in this study. Many deep-learning-based computer vision …

… congestion, accidents and low traffic efficiency result in a waste of resources [8]. … [12]
designed a real-time computer vision system for vehicle tracking and traffic surveillance by …

… Any intelligent traffic monitoring system must be able to detect anomalies such as traffic
accidents in real time. In this paper, we propose a Decision-Tree enabled approach powered by …

… data, unsafe traffic dynamics in real-time, infrastructure … A real-time traffic conflict detection
technique will also be … implementation in a real-time warning technology based on the …

… through the method of image processing and pattern recognition has been widely used [1,2,…
The vehicle classification system based on machine vision can embedded with current traffic …

… This paper presents a classification module for video streaming traffic, based on machine
learning, as a solution for network schemes that require adequate real-time traffic treatment. …

… Abstract: The paper puts forward a real time traffic sign sensing (detection and recognition)
frame … in the road accidents, one of the primary causes leading a major number of accidents …

… The semantic events from audio-visual data with spatial-temporal support … In [32], proposed
Gesture Learning Module Architecture (GeLMA), for hand gesture recognition in real time. …