Browsing Computer Science by OzU Authors "Erdem, Tanju"
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Authoring and presentation tools for distance learning over interactive TV
Gürel, T. C.; Erdem, Tanju; Kermen, A.; Özkan, M. K.; Eroğlu Erdem, Ç. (ACM, 2010)We present a complete system for distance learning over interactive TV with novel tools for authoring and presentation of lectures and exams, and evaluation of student and system performance. The main technological ... -
Automatic fall detection for elderly by using features extracted from skeletal data
Davari, Amir; Aydin, T; Erdem, Tanju (IEEE, 2013)Automatic detection of unusual events such as falls is very important especially for elderly people living alone. Realtime detection of these events can reduce the health risks associated with a fall. In this paper, we ... -
Combining haar feature and skin color based classifiers for face detection
Eroğlu Erdem, Ç.; Ulukaya, S.; Karaali, A.; Erdem, Tanju (IEEE, 2011)This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed for gray-scale images is combined with a ... -
Hareketli kameralarda örtücü tespiti
Aydın, T.; Erdem, Tanju (IEEE, 2012)In this work, we propose a novel method for detection of moving or static objects which are not part of the background in an image sequence captured by a moving camera. The method is composed of two stages, namely, ... -
Hareketten yapı çıkarımı için görsel kullanıcı arayüzü
Hüroğlu, Cengiz; Erdem, Tanju (IEEE, 2014)The usage of computer vision applications such as 3D reconstruction, motion tracking and augmented reality gradually increases. The first and the most important stage of these kind of applications is estimating the 3D scene ... -
Improving automatic emotion recognition from speech signals
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (International Speech Communications Association, 2009)We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge ... -
INTERSPEECH 2009 duygu tanıma yarışması değerlendirmesi
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (IEEE, 2010)Bu makalede INTERSPEECH 2009 Duygu Tanıma Yarışması sonuçlarını değerlendiriyoruz. Yarışmanın sunduğu problem doğal ve duygu bakımından zengin FAU Aibo konuşma kayıtlarının beş ve iki duygu sınıfına en doğru şekilde ... -
A multi-sensor integrated head-mounted display setup for augmented reality applications
Kermen, Ahmet; Aydın, T.; Ercan, Ali Özer; Erdem, Tanju (IEEE, 2015)We present an HMD based AR system comprising visual and inertial sensors. The visual sensor is a camera pair and the inertial sensors consist of an accelerometer and a gyroscope. We discuss the temporal and spatial calibration ... -
RANSAC-based training data selection for emotion recognition from spontaneous speech
Eroğlu Erdem, Ç.; Bozkurt, E.; Erzin, E.; Erdem, Tanju (ACM, 2010)Training datasets containing spontaneous emotional expressions are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) ... -
RANSAC-based training data selection for speaker state recognition
Bozkurt, E.; Erzin, E.; Erdem, Ç. E.; Erdem, Tanju (The International Speech Communications Association, 2011)We present a Random Sampling Consensus (RANSAC) based training approach for the problem of speaker state recognition from spontaneous speech. Our system is trained and tested with the INTERSPEECH 2011 Speaker State ... -
RANSAC-based training data selection on spectral features for emotion recognition from spontaneous speech
Bozkurt, E.; Erzin, E.; Erdem, Tanju; Eroğlu Erdem, Ç. (Springer International Publishing, 2011)Training datasets containing spontaneous emotional speech are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) ... -
Use of line spectral frequencies for emotion recognition from speech
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (IEEE, 2010)We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the best of our knowledge. Spectral features ...
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