Browsing by Subject "Surveillance"

Now showing 1 - 7 of 7

Open Access
Co-difference based object tracking algorithm for infrared videos
(IEEE, 2016) Demir, H. Seçkin; Çetin, A. Enis
This paper presents a novel infrared (IR) object tracking algorithm based on the co-difference matrix. Extraction of co-difference features is similar to the well known covariance method except that the vector product operator is redefined in a multiplication-free manner. The new operator yields a computationally efficient implementation for real time object tracking applications. Experiments on an extensive set of IR image sequences indicate that the new method performs better than covariance tracking and other tracking algorithms without requiring any multiplication operations.
Open Access
Community and neighborhood relations in Ankara: an urban-suburban contrast
(Elsevier, 2010-04) Erkip, F.
This paper focuses on community and neighbourhood relations of two high-income districts in Ankara. A suburban and a more traditional urban community are contrasted via a field survey that focuses on attitudes toward certain community values and toward other citizens. The findings indicate that residents in both settings express similar values towards community and neighbourhood relations. Their attitude toward other districts of the city is also similar, indicating an increasing and widespread exclusion of the poor. The varied implications of this investigation, including the nature of the gated community, are explored.
Open Access
A compressive measurement matrix design for detection and tracking of direction of arrival using sensor arrays
(2016-07) Özer, Berk
Direction of Arrival (DoA) estimation is extensively studied in the array signal processing with many applications areas including radar, sonar, medical diagnosis and radio astronomy. Since, in sparse target environments, Compressive Sensing (CS) provides comparable performance with the classical DoA estimation techniques by using fewer number of sensor outputs, there are a multitude of proposed techniques in the literature that focus on surveillance (detection) and tracking (estimation) of DoA in CS framework. Many of such works elaborate on recovery of compressed signal and employ random measurement matrices, such as Bernoulli or Gaussian matrices. Although random matrices satisfy Restricted Isometry Property (RIP) for reconstruction, the measurement matrices can be designed to provide improved performance in search sectors that they are designed for. In this thesis, a novel technique to design compressive measurement matrices is proposed in order to achieve enhanced DoA surveillance and tracking performance using sensor arrays. Measurement matrices are designed in order to minimize the Cramer-Rao Lower Bound (CRLB), which provides a lower bound for DoA estimation error. It is analytically shown that the proposed design technique attains the CRLB under mild conditions. Built upon the characteristics of proposed measurement design approach, a sequential surveillance technique using interference cancellation is introduced. A novel partitioning technique, which provides a greedy type solution to a minmax optimization problem, is also developed to ensure robust surveillance performance. In addition, an adaptive target tracking algorithm, which adaptively updates measurement matrices based on the available information of targets, is proposed. Via a comprehensive set of simulations, it is demonstrated that the proposed measurement design technique facilities significantly enhanced surveillance and tracking performance over the widely used random matrices in the compressive sensing literature.
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Endüstriyel futbol, Passolig ve taraftar aktvizmi: Alkaralar örneği
(Bilkent University, 2021) Kahveci, Emir Berke; Gündoğdu, Tuna; Çevik, Bürge; Ulusoy, Osman Gürem
Günümüz şartlarında modernleşen ve endüstriyel bir alan haline gelen futbolun tarihsel değişimi sonucu, taraftarlar artık birer tüketici haline gelmişlerdir. Futbol kulüpleri, yatırımcıların piyasada para kazanmak amacıyla kurdukları yatırım araçları haline gelmiş, yüksek maliyetlerle inşa edilen statlarda basılı bilet karşılığı seyir sistemi yerini ülkemizde “Passolig”e bırakmıştır. Gözetleme kültürünü besleyen Passolig sayesinde holiganlıklar ve tehlike yaratabileceği varsayılan seyircilerin statlardan uzaklaştırılacağı düşüncesi bu sisteme geçişte etkili olmuştur. Bu makalede Ankara’da 1900’lü yılların başında kurulan Gençlerbirliği’nin taraftar gruplarından en önemlilerinden biri olan “Alkaralar”ın değişen ve endüstrileşen futbola karşı tutumlarını, Passolig sistemi hakkındaki düşünceleri, demografik yapıları ve özellikleri incelenecektir. Alkaralar’ın endüstriyel futbola bakış açıları ve Passolig’e karşı duruşlarının diğer taraftar gruplarından daha farklı olmasından dolayı, Alkaralar’ın makalede incelenmesine karar verilmiştir.
Open Access
More network conscious than ever? Challenges, strategies, and analytic labor of users in the facebook environment
(Wiley-Blackwell Publishing, Inc., 2013) Karakayali, N.; Kilic A.
As is widely observed, social network sites (SNS) constitute a new environment of interaction where users encounter various challenges that they usually do not encounter in other environments. This study aims to provide an in-depth understanding of how users deal with the challenges in this unique environment, paying particular attention to the ways in which they examine and reflect on their social ties and networks. On the basis of 36 semistructured interviews with Facebook users, the article presents the hypothesis that participants of SNS develop a tendency to become highly observant and inquisitive about their networks and are frequently involved in an activity that the authors call analytic labor. © 2013 International Communication Association.
Open Access
“Night Hawks” watching over the city: redeployment of night watchmen and the politics of public space in Turkey
(Sage Publications, 2019-11) Batuman, Bülent; Erkip, Feyzan
Technological advances have enormously increased surveillance techniques in the last three decades. In this article, we scrutinize the re-instatement of bekçi, the traditional night watchmen patrolling the residential neighborhoods in Turkey, which was obsolete for decades. We analyze the re-emergence of the bekçi in relation to the dynamics of urbanization, and with a perspective of power and surveillance. Our discussion bridges the Foucauldian notion of “visibility,” equating it with being subject to surveillance, and the Arendtian emphasis on “appearance” as the precondition for a claim to public space (hence, citizenship) in order the uncover the role of visibility within the mechanisms of power in public space. We argue that although the bekçi seems outmoded, especially within the context of ever-increasing advancement of surveillance technologies; its recent deployment in the public spaces of Turkish metropolises brings about new modes of politics of visibility parallel to the changing modality of the urban environment.
Open Access
Real-time detection, tracking and classification of multiple moving objects in UAV videos
(IEEE, 2017-11) Baykara, Hüseyin Can; Bıyık, Erdem; Gül, Gamze; Onural, Deniz; Öztürk, Ahmet Safa; Yıldız, İlkay
Unnamed Aerial Vehicles (UAVs) are becoming increasingly popular and widely used for surveillance and reconnaissance. There are some recent studies regarding moving object detection, tracking, and classification from UAV videos. A unifying study, which also extends the application scope of such previous works and provides real-Time results, is absent from the literature. This paper aims to fill this gap by presenting a framework that can robustly detect, track and classify multiple moving objects in real-Time, using commercially available UAV systems and a common laptop computer. The framework can additionally deliver practical information about the detected objects, such as their coordinates and velocities. The performance of the proposed framework, which surpasses human capabilities for moving object detection, is reported and discussed.