Browsing by Author "Aytaç, Tayfun"
Now showing items 1-5 of 5
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Classifier-based offline feature selection and evaluation for visual tracking of sea-surface and aerial targets
Çakır, Serdar; Aytaç, Tayfun; Yıldırım, Alper; Gerek, Ömer Nezih (Spie-Soc Photo-Optical Instrumentation Engineers, 2011)An offline feature selection and evaluation mechanism is used in order to develop a robust visual tracking scheme for sea-surface and aerial targets. The covariance descriptors, known to constitute an efficient signature ... -
Çevresel Aykırılığa Dayalı Bir Hedef Tespit Algoritması
Automatic target detection algorithms enable in military and civilian applications the detection of low-contrast and spatially small targets that can not be detected by a human operator and remove the requirement of permanent ... -
Region covariance descriptors calculated over the salient points for target tracking [Hedef i·zleme i·çi·n önemli· noktalar üzeri·nden hesaplanan bölgesel ortak degi·ş i·nti· beti·mleyi·ci·leri·]
Çakır, Serdar; Aytaç, Tayfun; Yıldırım, Alper; Beheshti, S.; Gerek, Ömer Nezih; Çetin, A. Enis (2012)Features extracted at salient points in the image are used to construct region covariance descriptor (RCD) for target tracking purposes. In the classical approach, the RCD is computed by using the features at each pixel ... -
Salient point region covariance descriptor for target tracking
Çakır, Serdar; Aytaç, Tayfun; Yıldırım, Alper; Beheshti, Soosan; Gerek, Ömer Nezih; Çetin, A. Enis (Spie-Soc Photo-Optical Instrumentation Engineers, 2013)Features extracted at salient points are used to construct a region covariance descriptor (RCD) for target tracking. In the classical approach, the RCD is computed by using the features at each pixel location, which increases ... -
Tracking of Platforms above Sea-level in Visual Band Videos using Covariance based Tracker and Feature Selection
In this study, a feature based tracker is developed in order to track platforms above sea-level in visual band videos. The covariance descriptor, known as an efficient method in object detection and classification problems, ...
