Fully-Automatic Target Detection and Tracking for Real-Time, Airborne Imaging Applications

Alkanat, Tunc
Tunali, Emre
Oz, Sinan
In this study, an efficient, robust algorithm for automatic target detection and tracking is introduced. Procedure starts with a detection phase. Proposed method uses two alternatives for the detection phase, namely maximally stable extremal regions detector and Canny edge detector. After detection, regions of interest are evaluated and eliminated according to their compactness and effective saliency. The detection process is repeated for a predetermined number of pyramid levels where each level processes a downsampled version of input image to achieve scale invariance. Then, temporal consistency for detections from all scales is evaluated and target likelihood map is constructed using kernel density estimation in order to merge all target hypotheses. Finally, outstanding targets are selected from target likelihood map and tracking is achieved by minimizing spatial distance between the selected targets in consecutive frames.


Signature Based Vegetation Detection on Hyperspectral Images
Özdemir, Okan Bilge; Soydan, Hilal; Çetin, Yasemin; Düzgün, Hafize Şebnem (2015-05-19)
In this study, the contribution of utilizing hyperspectral unmixing algorithms on signature based target detection algorithms is studied. Spectral Angle Mapper (SAM), Spectral Matched Filter (SMF) and Adaptive Cosine Estimator (ACE) algorithms are selected as target detection methods and the performance change related to the target spectral acquisition is evaluated. The spectral signature of the desired target, corn, is acquired from ASD hyperspectral library as well as from the hypespectral unmixing endmem...
Radar target detection in non-gaussian clutter
Doyuran, Ülkü; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2007)
In this study, novel methods for high-resolution radar target detection in non-Gaussian clutter environment are proposed. In solution of the problem, two approaches are used: Non-coherent detection that operates on the envelope-detected signal for thresholding and coherent detection that performs clutter suppression, Doppler processing and thresholding at the same time. The proposed non-coherent detectors, which are designed to operate in non-Gaussian and range-heterogeneous clutter, yield higher performanc...
Robust Automatic Target Recognition in FLIR imagery
Soyman, Yusuf (2012-04-24)
In this paper, a robust automatic target recognition algorithm in FLIR imagery is proposed. Target is first segmented out from the background using wavelet transform. Segmentation process is accomplished by parametric Gabor wavelet transformation. Invariant features that belong to the target, which is segmented out from the background, are then extracted via moments. Higher-order moments, while providing better quality for identifying the image, are more sensitive to noise. A trade-off study is then perform...
Tracking of multiple ground targets in clutter with interacting multiple model estimator
Korkmaz, Yusuf; Baykal, Buyurman; Department of Electrical and Electronics Engineering (2013)
In this thesis study, single target tracking algorithms including IMM-PDA and IMM-IPDA algorithms; Optimal approaches in multitarget tracking including IMM-JPDA, IMM-IJPDA and IMM-JIPDA algorithms and an example of Linear Multi-target approaches in multitarget tracking including IMM-LMIPDA algorithm have been studied and implemented in MATLAB for comparison. Simulations were carried out in various realistic test scenarios including single target tracking, tracking of multiple targets moving in convoy fashio...
Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference
Tuncer, Barkın; Özkan, Emre (2021-02-01)
In this study, we propose a novel extended target tracking algorithm which is capable of representing the extent of dynamic objects as an ellipsoid with a time-varying orientation angle. A diagonal positive semi-definite matrix is defined to model objects' extent within the random matrix framework where the diagonal elements have inverse-Gamma priors. The resulting measurement equation is non-linear in the state variables, and it is not possible to find a closed-form analytical expression for the true poste...
Citation Formats
T. Alkanat, E. Tunali, and S. Oz, “Fully-Automatic Target Detection and Tracking for Real-Time, Airborne Imaging Applications,” 2015, vol. 598, p. 240, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66412.