Fig. 16

Anonymous video analytics comparison of Algorithm 1 (A1: red box), Algorithm 2 (A2: dark red box), Algorithm 3 (A3: light green box), Algorithm 4 (A4: dark green box); Algorithm 5 (A5: blue box), Algorithm 6 (A6: dark blue box); and commercial solutions Commercial off-the-shelf 1 (C1: light grey box), and Commercial off-the-shelf 2 (C2: dark grey box), accounting for localization in terms of precision, recall, and F1-score; people counting in terms of mean opportunity error (MOE), Mean People Error (MPE), and cumulative opportunity error (COE); and age and gender estimation in terms of F1-score. All algorithms have been executed with the same video inputs (at 30 frames per second). A1–6 are run in System 1 with GPU, and C1-2 are run in CPU. Note that A1–2 obtain a COE several orders of magnitude larger than the rest of the algorithms; thus, these results are out of the chart ranges for easing the visualization. The company developing C2 defines OTS as any person within the field of view, differently than the definition proposed in this paper. To have this into consideration, we show two bar plots for C2. The one with the highest error corresponds to using the definition proposed in this paper, and the other one using the definition proposed by C2 (i.e., CPE, Eq. 8, is reported)