Moving hot object detection in airborne thermal videos

Kaba, Utku
In this thesis, we present an algorithm for vision based detection of moving objects observed by IR sensors on a moving platform. In addition we analyze the performance of different approaches in each step of the algorithm. The proposed algorithm is composed of preprocessing, feature detection, feature matching, homography estimation and difference image analysis steps. First, a global motion estimation based on planar homography model is performed in order to compensate the motion of the sensor and moving platform where the sensors are located. Then, moving objects are identified on difference images of consecutive video frames with global motion suppression. Performance of the proposed algorithm is shown on different IR image sequences.


High performance focal plane array technologies from short to long wavelength infrared bands
Arslan, Yetkin; Beşikci, Cengiz; Department of Electrical and Electronics Engineering (2014)
This thesis work covers the development of three different state of the art infrared sensor technologies: quantum well infrared photodetectors (QWIPs), HgCdTe sensors and extended InGaAs photodetectors. QWIP is the leading member of the quantum structure infrared photodetector family providing excellent uniformity and stability with field proven performance. The utilization of the InP/In0.48Ga0.52As multi-quantum well structure (instead of the standard AlGaAs/GaAs material system) for the implementation of ...
Dim point target tracking in infrared image sequences with low SNR
Güler, Zahide Selin; Vural, Elif; Department of Electrical and Electronics Engineering (2016)
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...
Numerical modeling and optimization of HgCdTe infrared photodetectors for thermal imaging
Koçer, Hasan; Beşikci, Cengiz; Department of Electrical and Electronics Engineering (2011)
This thesis presents a detailed investigation of the performance limiting factors of long wavelength infrared (LWIR) and very long wavelength infrared (VLWIR) p on n HgCdTe detectors through numerical simulations at 77 K incorporating all considerable generation-recombination mechanisms including trap assisted tunneling (TAT), Shockley-Read-Hall (SRH), Auger and radiative processes. Numerical simulations under dark and illuminated conditions were performed with different absorber layer thicknesses, material...
GPU based infrared signature modeling and scene simulation /
Kavak, Çağlar; Akar, Gözde; Akyüz, Ahmet Oğuz; Department of Electrical and Electronics Engineering (2014)
The need of a fast and high fidelity scene simulation system is important for the development of modern infrared (IR) imaging systems. The performance testing of these systems is expensive and also depends on environment conditions. However, computer based systems can provide a cost effective alternative to field trials. Ray tracing provides physical accuracy and photo realism for scene generation. However, it has computationally intensive nature and conventionally used for non-real time applications. The d...
Moving Object Detction in 2D and 3D Scenes
Sırtkaya, Salim; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2004)
This thesis describes the theoretical bases, development and testing of an integrated moving object detection framework in 2D and 3D scenes. The detection problem is analyzed in stationary and non-stationary camera sequences and different algorithms are developed for each case. Two methods are proposed in stationary camera sequences: background extraction followed by differencing and thresholding, and motion detection using optical flow field calculated by أKanade-Lucas Feature Trackerؤ. For non-stationary ...
Citation Formats
U. Kaba, “Moving hot object detection in airborne thermal videos,” M.S. - Master of Science, Middle East Technical University, 2012.