چکیده مقاله
In this paper we present an approach for detection and tracking of vehicles in highways The Aggregated Channel Features ACF is used to detect vehicles and the Kalman filter isemployed to track the detected objects The proposed scheme enjoys high accuracy in both detection and tracking Moreover, it can be run at near real time speed on an ordinary computer both detection and tracking take about 140ms for each frame The proposed approach was the best algorithm in Amirkabir Artificial Intelligence Competition in 2015 AAIC2015
کلیدواژهها
نویسندگان
Ebrahim Soroush
Amirkabir University of Technology
Ali Mirzaei
Amirkabir University of Technology
Shiva Kamkar
Amirkabir University of Technology
شیوه ارجاع
Soroush, Ebrahim and Mirzaei, Ali and Kamkar, Shiva,1394,Near Real-Time Vehicle Detection and Tracking in Highways,The 15th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات پانزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک11 اسفند 1394 · تهران