A Review on UAV Video Processing for Estimation of Traffic Parameters

Remotely sensed data using aerial video can be used to enhance existing methods and therefore to improve traffic surveillance. Traditional monitoring devices such as loop detectors, surveillance video cameras and microware sensors are usually placed at fixed locations to achieve a fixed surveillance coverage range. Aerial monitoring has helped the traffic planners and commuters to yield detailed information. Unmanned aerial vehicles (UAVs) are gaining popularity in traffic monitoring due to their low cost, high flexibility, and wide view range. The purpose of this technical report is to provide a survey of research, related to the application of UAV videos for traffic management.

[1]  Srikanth Saripalli,et al.  Road detection from aerial imagery , 2012, 2012 IEEE International Conference on Robotics and Automation.

[2]  Jae-Young Choi,et al.  Vehicle Detection from Aerial Images Using Local Shape Information , 2009, PSIVT.

[3]  Xuelong Li,et al.  Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos , 2011, 2011 18th IEEE International Conference on Image Processing.

[4]  Gregory Dudek,et al.  A vision-based boundary following framework for aerial vehicles , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Zu Whan Kim.  Realtime Road Detection by Learning from One Example , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

[6]  Stefan Hinz,et al.  Vehicle Detection in Aerial Images Using Generic Features, Grouping, and Context , 2001, DAGM-Symposium.

[7]  Srikanth Saripalli,et al.  Road Detection and Tracking from Aerial Desert Imagery , 2012, J. Intell. Robotic Syst..

[8]  Daniel A. Lavigne,et al.  Robust vehicle detection in low-resolution aerial imagery , 2010, Defense + Commercial Sensing.

[9]  Saeid Nahavandi,et al.  Efficient Road Detection and Tracking for Unmanned Aerial Vehicle , 2015, IEEE Transactions on Intelligent Transportation Systems.

[10]  Mark Hickman,et al.  Application of aerial video for traffic flow monitoring and management , 2002 .

[11]  Evangelos Dermatas,et al.  Random-Walker Monocular Road Detection in Adverse Conditions Using Automated Spatiotemporal Seed Selection , 2013, IEEE Transactions on Intelligent Transportation Systems.

[12]  W. Grossman,et al.  Autonomous Searching and Tracking of a River using an UAV , 2007, 2007 American Control Conference.

[13]  Xiao Xiao,et al.  Vision-based road-following using a small autonomous aircraft , 2004, 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720).

[14]  Kuo-Chin Fan,et al.  Vehicle Detection Using Normalized Color and Edge Map , 2007, IEEE Transactions on Image Processing.

[15]  Kristin J. Dana,et al.  Real-time scene stabilization and mosaic construction , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[16]  Bo Zhang,et al.  Color-based road detection in urban traffic scenes , 2004, IEEE Transactions on Intelligent Transportation Systems.

[17]  Mark D. Hickman,et al.  Methods of analyzing traffic imagery collected from aerial platforms , 2003, IEEE Trans. Intell. Transp. Syst..

[18]  Zhiyong Cui,et al.  Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos , 2017, IEEE Transactions on Intelligent Transportation Systems.

[19]  Suman Srinivasan,et al.  Airborne traffic surveillance systems: video surveillance of highway traffic , 2004, VSSN '04.