A STUDY ON CHALICES FROM BEYCESULTAN: THEIR FUNCTION, SOCIAL MEANING AND CULTURAL INTERACTIONS

This paper is focused on the production, function and cultural interactions of the chalices detected at the Late Bronze Age levels of Beycesultan Höyük. The morphological characteristics and context analysis of the chalices found at Beycesultan Höyük will be discussed, and following this, the chalices function and place within society will be compared with other settlements where chalices have been obtained

An archaeometric investigation of early and middle bronze age pottery from the upper meander basin in southwestern anatolia

We present the results of a comprehensive mineralogical and geochemical (archaeometrical) investigation of ceramics dating to the Early Bronze Age II (2600/2500-2200 BC) and the Middle Bronze Age (2000-1600 BC) from sites located in the Upper Meander Basin of Denizli province in southwestern Anatolia. We analyzed the mineralogical and petrographical characteristics of the samples using X-ray diffraction (XRD) and optical microscopy, and we examined the chemical compositions with X-Ray Fluorescence (XRF). In general, the primary components of the ceramics include coarse-grained quartz, biotite, muscovite, pyroxene, plagioclase, and metamorphic rock fragments; we estimate a firing temperature under 800°C. The ceramics appear to be locally manufactured, given the close relationship between their mineralogical properties and the local geological structure and topography. Our analysis indicates that people living in the mountainous, plateau, and lowland areas each preferred different clay deposits in their pottery production. All of these areas, however, shared similar production technologies. © 2018 MAA

Robust Recognition of Specific Human Behaviors in Crowded Surveillance Video Sequences

We describe a method that can detect specific human behaviors even in crowded surveillance video scenes. Our developed system recognizes specific behaviors based on the trajectories created by detecting and tracking people in a video. It detects people using an HOG descriptor and SVM classifier, and it tracks the regions by calculating the two-dimensional color histograms. Our system identifies several specific human behaviors, such as running and meeting, by analyzing the similarities to the reference trajectory of each behavior. Verification techniques such as backward tracking and calculating optical flows contributed to robust recognition. Comparative experiments showed that our system could track people more robustly than a baseline tracking algorithm even in crowded scenes. Our system precisely identified specific behaviors and achieved first place for detecting running people in the TRECVID 2009 Surveillance Event Detection Task