Browsing Electrical & Electronics Engineering by Author "(ORCID 0000-0002-8841-1642 & YÖK ID 45777) 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 ... -
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 ... -
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 ... -
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 ... -
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 ...
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