Video Insights is helping you to speed up your traffic analysis thanks to various object properties collected during the video processing (more described in this article). Based on these properties, we defined a set of visual maps and their outcomes are presented to you in a form of a Widget. This article will provide you a quick reference to all visual maps available in the Video Insights application including usage examples.
Red section highlights the widget types section in the New Widget tab
On the Describe page of a Camera, a trajectory preview is displayed on the screenshot, so that the scene is easily readable for placing zones and lines (more information to this topic here).
This widget enables to see all trajectories of all objects in the video. By using filters, you can have a look on trajectories only for a selected movement or just for some object classes. This might be useful on rich and more complicated scenes, where it is sometimes difficult to get a quick overview.
Example of pedestrian trajectories crossing a city street
2. Acceleration heatmap
A graphical map showing places with accelerating and decelerating traffic. Hot areas (red color) represent places where traffic usually decelerates, cold areas (blue color) represent places where traffic usually accelerates.
Acceleration heatmap is calculated only from traffic objects which match your widget settings.
Note: On scenes with significant perspective, places far from the camera might produce inaccurate results. Ideal view for measuring acceleration is from above.
Acceleration heatmap shows decelerating areas in front of the crossings
3. Motion heatmap
A great tool to discover places with heavy or low traffic. Hot areas (red color) represent places with heavier traffic, cold areas (blue color) represent places with lower traffic. Motion heatmap is calculated only from traffic objects which match your widget settings.
Motion heatmap identifies zones with heavy and low traffic on first sight
4. Hold-up heatmap (Occupancy time heatmap)
A quick way to discover an average occupancy time of vehicles or pedestrians on the whole scene or in specific locations. For Hold-up heatmap, the scene is divided into 10 x 10 grid and for each of the fields, mean occupancy time is calculated based on your selected filter and chosen vehicle classes. Unlike by the Occupancy time widget, the results on the heatmap are shown not just for the specified zone but for all fields on the scene, where the tracked objects appeared.
Red areas represent places that traffic objects occupy more than 10 s.
Green areas represent places that traffic objects occupy between 2 and 10 s.
Blue areas represent places that traffic objects occupy less than 2 s.
Note: Hold-up heatmap is calculated only from traffic objects which match in selected time range. On scenes with significant perspective, places far from the camera might produce inaccurate results.
Mean time spent on entrances to a crossing on the Hold-up heatmap (in sec)