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KLT Feature Based Vehicle Detection and Tracking in Airborne Videos

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4 Author(s)
Xianbin Cao ; Anhui Province Key Lab. of Software in Comput. & Commun., Univ. of Sci. & Technol. of China, Hefei, China ; Jinhe Lan ; Pingkun Yan ; Xuelong Li

Airborne vehicle detection and tracking systems equipped on unmanned aerial vehicles (UAVs) are difficult to develop because of factors like UAV motion, scene complexity and so on. In this paper, we propose a new framework of multi-motion layer analysis to detect and track moving vehicles in airborne platform. Moving vehicles are firstly detected by registration and temporal differencing to establish motion layers. After motion layers are constructed, they are maintained over time for tracking vehicles. All vehicles are tracked by maintaining their corresponding motion layers. Our experimental results showed that compared with other previous algorithms, our method can achieve better results in terms of detection and tracking performance.

Published in:

Image and Graphics (ICIG), 2011 Sixth International Conference on

Date of Conference:

12-15 Aug. 2011