This chapter provides three sections. The first section introduces the video database that it is used in our experiments. This database is based on people surveillance footage and called CAVIAR. In our study, the performance results are based on both qualitative and quantitative evaluation. In second section, some experimental results of our study are presented via qualitative and overall quantitative (i.e., numerical) results of performance. In addition, we explain that the capabilities of ViCamPEv are used to obtain these results. In third section, we present both statistical and algorithmic analysis of relevant object D&T methods. These methods are comparable via the results in related tables for related methods. The discussion about given methods are presented through these experimental results and performance evaluation.
CITATION STYLE
Karasulu, B., & Korukoglu, S. (2013). A case study: People detection and tracking in videos. In SpringerBriefs in Computer Science (Vol. 0, pp. 51–63). Springer. https://doi.org/10.1007/978-1-4614-6534-8_5
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