A survey of video processing techniques for traffic applications

617 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Vehicle Detection Using Normalized Color and Edge Map (2007, methodology): “For example, many techniques [ 2 ]–[5] used background subtraction to extract motion features for detecting moving vehicles from video sequences.”
3D Traffic Scene Understanding From Movable Platforms (2014, background): “While autonomous driving on highways has been successfully demonstrated for several decades [21], navigating urban environments remains an unsolved problem.”
A Review of Computer Vision Techniques for the Analysis of Urban Traffic (2011, background): “A comprehensive review [76] focuses on this topic.”
Overview of Environment Perception for Intelligent Vehicles (2017, background): “Some surveys on recent developments in lane and road detection can be found in [10]–[12].”
D Traffic Scene Understanding from Movable Platforms (2013, neutral): “net/projects/intersection [18], [21], [41], [49] and road detection [1], [2], [17] algorithms.”
Data-Driven Intelligent Transportation Systems: A Survey (2011, background): “, snow, static or dynamic shadows, rain, and glare [18], [30].”
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation (2006, background): “Broad surveys of intelligent vehicles have examined many of the lane-position sensing algorithms available [14], [15].”