Journals Proceedings

International Journal of Advancements in Electronics and Electrical Engineering

Real-time Traffic Jam Detection from UAV Using Cascade Haar



This paper contains an in depth work carried out in the area of real-time vehicle detection from an Unmanned Ariel Vehicle (UAV) to detect the traffic jam by counts the number of cars in the roadway. The opticalcamera located inside the UAV takes images from a particular angle and analysis is performed on the image to detect the vehicle (static or moving). To obtain the accurate and quick result, the analysis should be inground station. This paper presents a highly reliable technique to detect many different types of vehicles from images having variant backgrounds. This technique used Haar classifiers to perform this real-time application. The Haar classifier was trained with multiple features to accomplish the task. The task was successfully achieved with minimum false positive rate.

No fo Author(s) : 2
Page(s) : 41 - 43
Electronic ISSN : 2319 - 7498
Volume 5 : Issue 1
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