4. Performance Measures and Evaluation

This 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.