Gözetleme ve Göç Disiplin Toplumundan Denetim Toplumuna



Hardware implementation of an active feature tracker for surveillance applications
Solmaz, Berkan; Akar, Gözde; Department of Electrical and Electronics Engineering (2008)
The integration of image sensors and high performance processors into embedded systems enabled the development of intelligent vision systems. In this thesis, we developed an active autonomous system to be used for surveillance applications. The proposed system detects a single moving object in the field of view automatically and tracks it in a wide area by controlling the pan-tilt-zoom features of the camera. The system can also go to an alarm state to warn the user. The processing unit of the system is a T...
Surveillance culture and citizen participation in policing through television: A case study on Müge Anlı ile Tatlı Sert
Mete, Alım Irmak; Topal, Çağatay; Department of Social Policy (2021-9)
The aim of this thesis was to illustrate the ways in which surveillance culture is utilized by Turkish crime-based reality TV programming in order to assure a surveillant form of citizen participation in policing, with a specific focus on the dynamics of the processes and their possible reflections on viewers’ everyday lives. For this purpose, Müge Anlı ile Tatlı Sert was chosen for its steady success in ratings and mobilization of its audiences, and from the show, the 13-episode case of Atalay Filiz was se...
Human body part detection and multi-human tracking in surveillance videos
Topçu, Hasan Hüseyin; Çiçekli, Fehime Nihan; Ulusoy, İlkay; Department of Computer Engineering (2012)
With the recent developments in Computer Vision and Pattern Recognition, surveillance applications are equipped with the capabilities of event/activity understanding and interpretation which usually require recognizing humans in real world scenes. Real world scenes such as airports, streets and train stations are complex because they involve many people, complicated occlusions and cluttered backgrounds. Although complex real world scenes exist, human detectors have the capability to locate pedestrians accur...
Character generation through self supervised vectorization
Gökçen, Gökçeoğlu; Bozşahin, Hüseyin Cem; Emre, Akbaş; Department of Cognitive Sciences (2022-2-11)
Humans learn visual concepts rapidly and flexibly from few samples. However, this kind of learning is a challenge for the prevalent machine learning methodologies. Currently, high performing deep learning models and algorithms depend on large amounts of data and they are task-specific. In this study, we focus on the generative aspects of visual concept learning in the domain of handwritten characters. We develop an unsupervised approach that can be generalized to multiple tasks using a small number of sampl...
Semantic video analysis for surveillance systems
Kardaş, Karani; Coşar, Ahmet; Çiçekli, Fehime Nihan; Department of Computer Engineering (2018)
This thesis presents novel studies about semantic inference of video events. In this respect, a surveillance video analysis system, called SVAS is introduced for surveillance domain, in which semantic rules and the definition of event models can be learned or defined by the user for automatic detection and inference of complex video events. In the scope of SVAS, an event model method named Interval-Based Spatio-Temporal Model (IBSTM) is proposed. SVAS can learn action models and event models without any pre...
Citation Formats
Ç. Topal, “Gözetleme ve Göç Disiplin Toplumundan Denetim Toplumuna,” 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/77488.