Browsing by Author "Töreyin, B. U."
Now showing items 1-17 of 17
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Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems
Töreyin, B. U.; Yarkan, S.; Qaraqe, K. A.; Çetin, A. Enis (IEEE, 2011)In this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful ... -
Computer vision based method for real-time fire and flame detection
Töreyin, B. U.; Dedeoǧlu, Y.; Güdükbay, Uğur; Çetin, A. Enis (Elsevier BV, 2006-01-01)This paper proposes a novel method to detect fire and/or flames in real-time by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire ... -
Deep convolutional generative adversarial networks for flame detection in video
Aslan, Süleyman; Güdükbay, Uğur; Töreyin, B. U.; Çetin, A. Enis (Springer, Cham, 2020)Real-time flame detection is crucial in video-based surveillance systems. We propose a vision-based method to detect flames using Deep Convolutional Generative Adversarial Neural Networks (DCGANs). Many existing supervised ... -
Diferansiyel PIR algılayıcılarla dalgacık tabanlı alev tespiti
Erden, F.; Töreyin, B. U.; Soyer, E. B.; İnaç, İ.; Günay, O.; Köse, K.; Çetin, A. Enis (IEEE, 2012-04)Bu makalede, diferansiyel kızılberisi algılayıcı (PIR) kullanılarak geliştirilen bir alev tespit sistemi önerilmektedir. Diferansiyel kızılberisi algılayıcılar, yalnızca görüş alanlarındaki ani sıcaklık değişikliklerine ... -
Early wildfire smoke detection based on motion-based geometric image transformation and deep convolutional generative adversarial networks
Aslan, Süleyman; Güdükbay, Uğur; Töreyin, B. U.; Çetin, A. Enis (Institute of Electrical and Electronics Engineers Inc., 2019)Early detection of wildfire smoke in real-time is essentially important in forest surveillance and monitoring systems. We propose a vision-based method to detect smoke using Deep Convolutional Generative Adversarial Neural ... -
Entropi fonsiyonuna dayalı uyarlanır karar tümleştirme yapısı
Günay, Osman; Töreyin, B. U.; Köse, Kıvanç; Çetin, A. Enis (2012-04)Bu bildiride, resim analizi ve bilgisayarla görü uygulamalarında kullanılmak üzere entropi fonksiyonuna dayanan uyarlanır karar tümleştirme yapısı geliştirilmiştir. Bu yapıda bileşik algoritma, herbiri güven derecesini ... -
An experimental validation of an online adaptive cooperation scheme for spectrum sensing
Yarkan, S.; Töreyin, B. U.; Qaraqe, K. A.; Çetin, A. Enis (IEEE, 2011-05)Cooperative spectrum sensing methods in the literature assume a static communication scenario with fixed channel and propagation environment characteristics. In order to maintain the level of sensing reliability and ... -
Fall detection using single-tree complex wavelet transform
Yazar, A.; Keskin, F.; Töreyin, B. U.; Çetin, A. Enis (Elsevier, 2013)The goal of Ambient Assisted Living (AAL) research is to improve the quality of life of the elderly and handicapped people and help them maintain an independent lifestyle with the use of sensors, signal processing and ... -
Fire detection in infrared video using wavelet analysis
Töreyin, B. U.; Cinbiş, R. G.; Dedeoğlu, Y.; Çetin, A. Enis (SPIE - International Society for Optical Engineering, 2007)A novel method to detect flames in infrared (IR) video is proposed. Image regions containing flames appear as bright regions in IR video. In addition to ordinary motion and brightness clues, the flame flicker process is ... -
Fire detection in video using LMS based active learning
Günay, O.; Taşdemir K.; Töreyin, B. U.; Çetin, A. Enis (Springer, 2009)In this paper, a video based algorithm for fire and flame detection is developed. In addition to ordinary motion and color clues, flame flicker is distinguished from motion of flame colored moving objects using Markov ... -
İnsan hareketlerinin vibrasyon ve PIR algılayıcıları kullanılarak sınıflandırılması
Yazar, Ahmet; Çetin, A. Enis; Töreyin, B. U. (IEEE, 2012-04)Yalnız yaşayan yaşlı ve bakıma muhtaç kişilerin yere düşmelerinin kısa sürede tespit edilmesi önemli bir sorundur. Bu bildiride, sismik ve pasif kızılberisi algılayıcılar kullanarak, belirli bir alanda yere düşme olayının ... -
Moving object detection in wavelet compressed video
Töreyin, B. U.; Çetin, A. Enis; Aksay, A.; Akhan, M. B. (Elsevier, 2005)In many surveillance systems the video is stored in wavelet compressed form. In this paper, an algorithm for moving object and region detection in video which is compressed using a wavelet transform (WT) is developed. The ... -
Moving region detection in compressed video
Töreyin, B. U.; Çetin, A. Enis; Aksay, A.; Akhan, M. B. (Springer, 2004)In this paper, an algorithm for moving region detection in compressed video is developed. It is assumed that the video can be compressed either using the Discrete Cosine Transform (DOT) or the Wavelet Transform (WT). The ... -
An online adaptive cooperation scheme for spectrum sensing based on a second-order statistical method
Yarkan S.; Töreyin, B. U.; Qaraqe, K. A.; Çetin, A. Enis (Institute of Electrical and Electronics Engineers, 2012)Spectrum sensing is one of the most important features of cognitive radio (CR) systems. Although spectrum sensing can be performed by a single CR, it is shown in the literature that cooperative techniques, including multiple ... -
Silhouette-based method for object classification and human action recognition in video
Dedeoǧlu, Y.; Töreyin, B. U.; Güdükbay, Uğur; Çetin, A. Enis (Springer, 2006)In this paper we present an instance based machine learning algorithm and system for real-time object classification and human action recognition which can help to build intelligent surveillance systems. The proposed method ... -
Video based wildfire detection at night
Günay, O.; Taşdemir K.; Töreyin, B. U.; Çetin, A. Enis (ELSEVIER, 2009-05-06)There has been an increasing interest in the study of video based fire detection algorithms as video based surveillance systems become widely available for indoor and outdoor monitoring applications. A novel method explicitly ... -
Video fire detection-Review
Çetin, A. Enis; Dimitropoulos, K.; Gouverneur, B.; Grammalidis, N.; Günay, O.; Habiboğlu, Y. H.; Töreyin, B. U.; Verstockt, S. (Elsevier, 2013)This is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to ...