Pedestrian Tracking and Trajectory Analysis for Security Monitoring
Chenyao Bai, Yi Gong, Xiao‐Jie Cao · 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) · 2020
Security awareness is becoming more and more critical in modern society. In this paper, we propose an infrared pedestrian tracking and trajectory analysis system. The system is able to monitor large area like factories and communities, and provides monitoring and suspicious alarm functions. An attention based object detector is structured to integrate features from different level. Deep-sort style tracker is used by following the principle of tracking-by-detection. Based on the tracking results, the system provides the function of suspect alarm by analyzing the trajectories. The performance of pedestrian tracking and suspect alarm satisfies the industrial needs in the experiment.