Cem Direkoglu
Middle East Technical University Northern Cyprus Campus
Deep learningAlgorithmImage (mathematics)Support vector machineNoiseArtificial intelligencePattern recognitionEdge detectionHeat equationInformation retrievalObject detectionTRECVIDTask (project management)Kanade–Lucas–Tomasi feature trackerComputer visionMathematicsComputer scienceFeature extractionEvent (computing)Cognitive neuroscience of visual object recognitionFeature (computer vision)Contextual image classificationConvolutional neural networkImage processing
45Publications
11H-index
452Citations
Publications 41
Newest
#1Melike Sah (NEU: Near East University)H-Index: 7
#2Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
Re-Identification of Vehicles (Vehicle Re-ID) in surveillance videos is an important and emerging topic in computer vision and intelligent systems. In Vehicle Re-ID, a specific vehicle is searched through non-overlapping camera viewpoints, which is a difficult task due to varying image conditions (e.g. scale, variations of appearance, illumination). For vehicle Re-ID, low level features such as shape and color can be utilized. Recently, deep learning-based vehicle Re-ID solutions became popular....
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#1Fatih Aksu (Middle East Technical University Northern Cyprus Campus)
#2Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
Person Re-Identification (Re-ID) is an important task in video surveillance systems. Computer vision algorithms can be used to search, retrieve and localize the person of interest in a camera network. Person Re-ID research is an active research, and most of the researches use deep backbone networks, such as ResNet-50 and GoogleNet, which are complex networks with many parameters to train. However, it is computationally complex and time consuming to train these networks for Person Re-ID especiall...
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#1Melike Şah (NEU: Near East University)H-Index: 2
#2Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
In order to analyse field sport videos, accurate player detection is essential. If players’ positions are identified correctly in video frames, the higher level analysis such as event detection, activity and performance analysis will be more accurate. For player detection, many methods have been presented until now with varying performances and under different evaluation settings. Convolutional Neural Networks (CNN) became very popular for object recognition and detection. Generally, CNN approac...
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#1Mohammed Abdulghani Taha (International University, Cambodia)
#2Melike Sah Direkoglu (NEU: Near East University)
Last. Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
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#1Nemer Odeh (Middle East Technical University Northern Cyprus Campus)
#2Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
The shopping experiment made by amazon go in USA is one of the most interesting applications of computer vision recently. They allow you to shop and automatically charge your virtual card for whatever goods you purchased using cameras and wireless systems, so no checkouts or waiting lines are required. However, amazon didn’t reveal yet the details of how their system components are implemented. In this paper, we introduce a complete system for computer vision based automated shopping. The propos...
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#1Khalid Zaman (NEU: Near East University)H-Index: 1
#1Khalid Zaman (NEU: Near East University)H-Index: 1
Last. Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
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Hearing aids are important for impaired people suffering from hearing loss. Generally, digital hearing aids are preferred since digital systems are flexible and programmable for different hearing loss conditions. Hearing aid applications usually use low-pass filters, adaptive filters and spectral analysis to remove harmful noise and amplify incoming speech signals. However, existing methods in digital hearing aids may not remove all harmful noises. To overcome this problem, first there is a need...
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#2Melike ŞahH-Index: 2
Last. Cem DirekogluH-Index: 11
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#1Eren Hatirnaz (NEU: Near East University)H-Index: 1
#2Melike Sah (NEU: Near East University)H-Index: 7
Last. Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
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Monitoring continuously captured surveillance videos is a challenging and time consuming task. To assist this issue, a new framework is introduced that applies anomaly detection, semantic annotation and provides a concept-based search interface. In particular, novel optical flow based features are used for abnormal crowd behaviour detection. Then, processed surveillance videos are annotated using a new semantic metadata model based on multimedia standards using Semantic Web technologies. In this...
7 CitationsSource
#1Cem Direkoglu (Middle East Technical University Northern Cyprus Campus)H-Index: 11
#2Melike Sah (NEU: Near East University)H-Index: 7
In December 2019, Covid-19 epidemic was identified in Wuhan, China. Covid-19 may cause fatality especially among elderly, and people with chronic health problems. After human to human transmissions of the disease, it has rapidly spread throughout China, and then the outbreak has reached to neighboring countries in Asia. Now, the spread of the virus is accelerating in the world, and increasing number of new cases has been reported daily in Europe, Middle East, Africa and America regions. Recently...
6 CitationsSource
7 CitationsSource