主要涉及到一些評估方式的講解：

評估資料集：

OTB50和OTB100(OTB50這裡指OTB-2013，OTB100這裡指OTB-2015）

• Wu Y, Lim J, Yang M H. Online object tracking: A benchmark [C]// CVPR, 2013.
• Wu Y, Lim J, Yang M H. Object tracking benchmark [J]. TPAMI, 2015.

Visual Tracker Benchmark：http://cvlab.hanyang.ac.kr/tracker_benchmark/datasets.html

評估方式：

Precision plot: percentages of frames whose estimated locations lie in a given threshold distance to ground-truth centers.

Success Plot: Let rt denote the area of tracked bounding box and ra denote the ground truth. An Overlap Score (OS) can be defined by S = |rt∩ra| |rt∪ra| where ∩ and ∩ are the intersection and union of two regions, and | · | counts the number of pixels in the corresponding area. Afterwards, a frame whose OS is larger than a threshold is termed as a successful frame, and the ratios of successful frames at the thresholds ranged from 0 to 1 are plotted in success plots.

評估原理：

one-pass evaluation (OPE)

temporal robustness evaluation (TRE)

spatial robustness evaluation (SRE)

One-pass evaluation with restart (OPER)

Spatial robustness evaluation with restart (SRER)

詳細內容可參看部落格：

https://blog.csdn.net/hjl240/article/details/52453030