Karasulu, BahadirKorukoglu, Serdar2025-01-272025-01-2720132191-5768https://doi.org/10.1007/978-1-4614-6534-8_4https://hdl.handle.net/20.500.12428/12604This chapter provides two sections. The first section introduces our performance evaluation methodology. The second section is separated into three subsections, which are frame-based detection measures, measures based on object matching criteria, and object tracking-based measures, respectively. In our study, some performance measures are used to evaluate object D&T method’s performance. In this manner, the measures for frame-based detection are object count accuracy, pixel-based precision, pixel-based recall, pixel-based F1 measure, area-based precision, area-based recall, area-thresholded precision, area-thresholded recall, and average fragmentation, respectively. Also, the measures based on object matching criteria are sequence frame detection accuracy, and position-based, size-based, and orientation-based measures, respectively. In addition, the measures based on object tracking are the object count-based measure, temporal measure, and sequence tracking detection accuracy, respectively. All of the above-mentioned measures are given via mathematical background in related subsections of this book. © The Author(s) 2013.eninfo:eu-repo/semantics/closedAccessEvaluation; Frame-based detection; Object matching criteria; Object tracking; PerformanceBook Chapter09781461465331394910.1007/978-1-4614-6534-8_42-s2.0-85044921441Q4