DIM POINT TARGET TRACKING IN INFRARED IMAGE SEQUENCES WITH LOW SNR


Thesis Type: Postgraduate

Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Faculty of Engineering, Department of Electrical and Electronics Engineering, Turkey

Approval Date: 2016

Student: ZAHİDE SELİN GÜLER

Supervisor: ELİF VURAL

Abstract:

Dim point target tracking in infrared (IR) images has been an active research area especially in military fields. Due to the long distance from IR sensors, target appears as a dim moving point hidden in a heavily cluttered background and causes the Signal to Noise Ratio (SNR) to be very low. We present a tracking algorithm based on Particle Filters (PF), which estimates the target position by using both brightness level and motion model measurements. A target candidate list for the presented PF algorithm is generated by Top-Hat background subtraction and statistical information of frame sequences. An important advantage of the proposed algorithm is that it does not use any a priori knowledge of the target properties. The performance of the proposed algorithm is evaluated on different types of IR image sequences generated from different detector types, varying SNR levels and different target motions. The experimental results demonstrate that the algorithm can successfully track dim moving point target in low SNR environment and accurately estimate its trajectory.