Automatic traffic surveillance system for vehicle tracking and classification

By Jun-Wei Hsieh, Shih-Hao Yu, Yung-Sheng Chen, Wen-Fong Hu. IEEE transactions on intelligent transportation systems (Print), 2006

487 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.

A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance (2008, background): “Shadows suppression was improved on a highway by learning the lane marker positions and removing those cast shadows that fell over a lane line [41].”
A Review of Computer Vision Techniques for the Analysis of Urban Traffic (2011, methodology): “The last section considers tracking, which can equally be applied after both classification methods.”
Internet of Things: Architectures, Protocols, and Applications (2017, methodology): “[85] implement a vehicle tracking system for traffic surveillance using video sequences captured on the roads.”
Vehicle Type Classification Using a Semisupervised Convolutional Neural Network (2015, methodology): “So far, numerous image-based methods have been proposed, and they roughly fall into two categories: model-based methods and appearance-based methods.”