Browsing Faculty of Engineering by OzU Authors "Erdem, Tanju"
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3B kamera takibi için eylemsizlik algılayıcılarının birleştirilmesi
Özer, N.; Erdem, Tanju; Ercan, Ali Özer; Eroğlu Erdem, Ç. (IEEE, 2012)It is well known in a Bayesian filtering framework, the use of inertial sensors such as accelerometers and gyroscopes improves 3D tracking performance compared to using camera measurements only. The performance improvement ... -
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 ... -
Bispectrum estimation using a MISO autoregressive model
Erdem, Tanju; Ercan, Ali Özer (Springer International Publishing, 2016)Bispectra are third-order statistics that have been used extensively in analyzing nonlinear and non-Gaussian data. Bispectrum of a process can be computed as the Fourier transform of its bicumulant sequence. It is in general ... -
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 ... -
Curriculum learning for face recognition
Büyüktaş, Barış; Erdem, Ç. E.; Erdem, Tanju (IEEE, 2021)We present a novel curriculum learning (CL) algorithm for face recognition using convolutional neural networks. Curriculum learning is inspired by the fact that humans learn better, when the presented information is organized ... -
Effect of camera-IMU displacement calibration error on tracking performance
Maxudov, Nekruzjon; Ercan, Ali Özer; Erdem, Tanju (IEEE, 2015)Due to their complementary properties, inertial measurement units (IMU) and cameras are used in ego-motion tracking applications. For this, the relative rotation and displacement between the camera and IMU reference frames ... -
Formant position based weighted spectral features for emotion recognition
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (Elsevier, 2011)In this paper, we propose novel spectrally weighted mel-frequency cepstral coefficient (WMFCC) features for emotion recognition from speech. The idea is based on the fact that formant locations carry emotion-related ... -
Fusing inertial sensor data in an extended kalman filter for 3D camera tracking
Erdem, Tanju; Ercan, Ali Özer (IEEE, 2015-02)In a setup where camera measurements are used to estimate 3D egomotion in an extended Kalman filter (EKF) framework, it is well-known that inertial sensors (i.e., accelerometers and gyroscopes) are especially useful when ... -
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 ... -
Kamera ve ataletsel ölçüm birimi iç kalibrasyonu
Erdem, Tanju; Ercan, Ali Özer; Aydın, T. (IEEE, 2013)In this paper, we address the problem of internal calibration of a camera and an inertial measurement unit (IMU). The internal calibration of a camera and an IMU requires the determination of the relative orientation and ... -
More learning with less labeling for face recognition
Büyüktaş, Barış; Eroğlu Erdem, Ç.; Erdem, Tanju (Elsevier, 2023-05)In this paper, we propose an improved face recognition framework where the training is started with a small set of human annotated face images and then new images are incorporated into the training set with minimum human ... -
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 ... -
On sensor fusion for head tracking in augmented reality applications
Ercan, Ali Özer; Erdem, Tanju (IEEE, 2011)The paper presents a simple setup consisting of a camera and an accelerometer located on a head mounted display, and investigates the performance of head tracking for augmented reality applications using this setup. The ... -
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) ...
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