Hasan Timucin Ozdemir

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The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for identifying abnormal moving activities. Indeed, various aspects of abnormality of moving patterns have recently been exploited, such as wrong direction and wandering. However, there is no recognized way of combining different aspects into(More)
Increased network capabilities and the prevalence of wireless networks have provided an environment where data and compute intensive surveillance applications can be realized as part of existing infrastructures. Nevertheless, careful consideration must be given to how such systems are designed an implemented. In our efforts to consider pervasive(More)
The increasing availability of motion data creates un-precedent opportunities to change the paradigm for characterizing movement patterns. While cluster analysis is usually a useful starting point for understanding and exploring data, conventional clustering algorithms are not designed for handling trajectory data. Therefore, in this paper, we propose a(More)
In this paper we present a novel application which uses 2D barcode for object tracking and event detection. We analyze the relationship between the spatial efficiency of a marker and its robustness against defocusing. Based on our analysis we design a spatially efficient and robust 2D barcode, M-Code (Marker-Code) which can be attached to the surface of(More)
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