Figure 4.
The image presents Algorithm 1, titled Stop-on-tracks detection. It describes a pseudocode process for determining whether objects in bounding-box trajectories stop within a defined region of interest. Inputs include trajectories, region coordinates, and minimum thresholds for distance and frame count. The algorithm calculates distances between object positions, filters values within statistical bounds, and uses percentile and conditional checks to flag stationary objects. The output is a list indicating whether each trajectory is classified as stopped on tracks.Pseudocode of stopped-on-tracks detection via data-driven thresholding
Source(s): Created by authors