Person Re identification by Combining Features in a Learning Based Framework

Person Re-identification Using Convolutional Neural Networks Aksu, Fatih; Direkoğlu, Cem; Electrical and Electronics Engineering (2021-9-6) Person re-identification is an important computer vision topic particularly for surveillance system applications. The main aim of person re-identification is to identify previously observed individuals over a camera network with nonoverlapping occurrences. Various approaches have been introduced to overcome this problem. This study has two distinct key contributions. First, a new part-based method for person re-identification, which combines semantically partitioned body part masks with a convolutional neur...
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Personel meanings of death and religiosity as predictors of death anxiety and death fear of university students Koçanoğlu, Aysel; Demir, Ayhan Gürbüz; Department of Educational Sciences (2005) This study had four basic purposes: The first purpose was to examine the dimensions of personal meanings of death (PMDS) perceived by university students. Secondly, understanding how these meanings and self reported religiosity contribute to predict death anxiety; third to predict death fear from PMDS and self reported religiosity. Lastly, to investigate gender differences between females and males in terms of personal meanings of death, death anxiety and death fear. The sample consisted of 498 undergraduat...

Citation Formats

B. OĞUL and A. Temizel, “Person Re identification by Combining Features in a Learning Based Framework,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30729.