Integration of People Counter Systems to Decision Support Systems in Clothing Retail Industry: A Preliminary Analysis and Possible Applications

Özet: Bu nitel çalışmada insan sayma sistemlerinin (İSS) perakende sektöründe alınan kararları nasıl destekleyebileceği incelenmiştir. Çalışmaya giyim sektöründe hizmet veren 44 perakendeci katılmıştır. Veriler, işletmelerin yöneticilerinden görüşme yolu ile toplanmıştır. Verileri analiz etmek için içerik analizi yöntemine başvurulmuş ve yedi ana kategori belirlenmiştir. Her bir kategori ayrı ayrı değerlendirilmiş ve yöneticile- rin görüşlerine göre örnek raporlar ve kararlar sunulmuştur. Anahtar Kelimeler: İnsan Sayma Sistemleri, Giyim Perakendeciliği, İş İstihbaratı,

İnsan Sayma Sistemlerinin Giyim-Perakende Karar Destek Sistemlerine Entegrasyonu: Bir Ön Analiz ve Olası Uygulamalar Özet: Bu nitel çalışmada insan sayma sistemlerinin (İSS) perakende sektöründe

Abstract: In this qualitative study, it is aimed to investigate how people counter systems (PCS) support decisions for retail sector. 44 companies in clothing retail sector participated to this study. Data were collected via interviews from the managers of the companies. A content analysis of the data is conducted and seven main categories have been identified. Each category is evaluated separately and sample reports and decisions are exemplified according to managers opinions.

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Albiol, A., Mora, I., & Naranjo, V. (2001). "Real-time high density people counter using morphological tools". IEEE Transactions on Intelligent Transportation Systems, 2(4), 204-217.
Barandiaran, J., Murguia, B., & Boto, F. (2008). "Real-time people counting using multiple lines". Ninth International Workshop On Image Analysis for Multimedia Interactive Services (pp. 159-162). Klagenfurt: IEEE.
Bozzoli, M., Cinque, L., & Sangineto, E. (2007). "A statistical method for people counting in crowded environments". 14th International Conference on Image Analysis and Processing, (ICIAP 2007) (pp. 506-511). Roma: IEEE.
Chen, T.-H., Chen, T.-Y., & Chen, Z.-X. (2006). "An intelligent people-flow counting method for passing through a gate". IEEE Conference On Robotics, Automation and Mechatronics (pp. 1-6). Bangkok: IEEE.
Chen, T.-Y., Chen, C.-H., Wang, D.-J., & Kuo, Y.-L. (2010). "A people counting system based on face-detection". Fourth International Conference on Genetic and Evolutionary Computing (ICGEC) (pp. 699-702). Shenzhen: IEEE.
García, J., Gardel, A., Bravo, I., Lázaro, J. L., Martínez, M., & Rodríguez, D. (2013). "Directional people counter based on head tracking". IEEE Transactions On Industrial Electronics, , 60(10), 3991-4000.
Granbois, D. H. (1968). "Improving the study of customer in-store behavior". Journal of Marketing, 32(4), 28-33.
Kim, Y. S., Yum, B.-J., Song, J., & Kim, S. M. (2005). "Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites". Expert Systems with Applications, 28(2), 381-393.
Mirzaei, T., & Iyer, L. (2014). "Application of predictive analytics in customer relationship management: a literature review and classification". Proceedings of the Southern Association for Information Systems Conference, (pp. 1-7). Macon.
Oosterhout, T. v., Bakkes, S., & Krose, B. (2011). "Head detection in stereo data for people counting and segmentation". International Conference on Computer Vision Theory and Applications (VISAPP), (pp. 620-625). Algarve.
Shan, C., Porikli, F., Xiang, T., & Gong, S. (2012). Video Analytics for Business Intelligence. Springer.
Yüksek, Y., & Karasulu, B. (2010). "A review on semantic video analysis using multimedia ontologies". Journal of the Faculty of Engineering and Architecture of Gazi University, 25(4), 719-739.
Zhang, Y. Z., Xu, S. S., Gao, L., Yang, S. B., & Su, X. L. (2013). "Research on people counting based on stereo vision". Applied Mechanics and Materials, 619-623.