Hal will be stopped for maintenance from friday on june 10 at 4pm until monday june 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Speed Optimization of UAV Vehicle Tracking Algorithm

Abstract : An improved method for vehicle tracking in UAV-captured video is introduced in this paper, this method based on GPU (Graphics Processing Units) acceleration which have efficient parallel computing powers. Today, vehicle tracking in UAV videos has many meaningful applications in computer vision, such as traffic management and illegal vehicle tracking. However, the increased computational complexity makes it difficult to be used in real-time tracking system. To overcome the limitation of tracking speed and meet the highly intensive calculation required, we perform image processing with GPUs and adopt an optimized structured output support vector machine (SVM) to online learning. The proposed approach is evaluated in UAV videos taken from DJI Matrice 100 drone and the corresponding conclusions are received.
Document type :
Conference papers
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download

Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, June 22, 2018 - 10:43:22 AM
Last modification on : Friday, June 22, 2018 - 10:51:34 AM
Long-term archiving on: : Tuesday, September 25, 2018 - 7:17:02 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Yanming Xu, Wei Pei, Yongying Zhu, Mingyu Lu, Lei Wu. Speed Optimization of UAV Vehicle Tracking Algorithm. 2nd International Conference on Intelligence Science (ICIS), Oct 2017, Shanghai, China. pp.390-399, ⟨10.1007/978-3-319-68121-4_42⟩. ⟨hal-01820913⟩



Record views


Files downloads