Research Article

A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net

Table 1

Pedestrian detection rate (%) and false positives per frame comparison of CAB-ELM and other state-of-the-art detectors.

Data sets ā€‰ Propose (low) Propose (high) CAB SVM GAB HF

Multiple Flow PDR 94.55 94.72 94.39 94.22 61.55 78.99
FPPF 0.56 0.75 0.30 1.68 1.70 1.66

City Center PDR 90.49 95.29 93.10 95.15 66.04 80.22
FPPF 0.46 1.80 0.71 0.960 1.43 1.50

USC PDR 73.16 81.79 81.15 80.83 36.74 34.82
FPPF 0.24 0.88 0.34 0.91 0.34 0.42

INRIA PDR 76.28 89.25 71.84 89.08 62.29 34.82
FPPF 0.59 9.24 3.54 9.55 0.89 0.42

(1) The number of cascade stages of CAB and CAB-RVFL is 12.
(2) (low) and (high) means two sets with (low/high) detection rates and corresponding false positives per frame.