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People Counting Tuning Guide Version 2.1.0
TI mmWave Labs – People Counting Demo
Setup and Customization Guide
The People Counting Demo demonstrates the use of TI mmWave Single Chip Radar IWR1642 to count
and track multiple people simultaneously. Detection and tracking algorithms run onboard the IWR1642
device to localize and track the movement of people with a high degree of accuracy. Clutter removal
enables static objects, like chairs, to be removed from the scene.
This guide will describe:
EVM installation procedure
Demo visualization-GUI considerations
Tracker Parameter Customization
Step by Step procedure for Demo Customization
Examples of tuning the demo for common environments/observations
People Counting Tuning Guide Version 2.1.0
Table of Contents
Common Demo Customization ..................................................................................................................... 3
Too Few Detections .................................................................................................................................. 3
Too Many Detections (Ghosts) ................................................................................................................. 3
Resolving Multiple People When Close Together ..................................................................................... 4
People Tracking and Counting Demo Setup and Customization .................................................................. 4
EVM Installation ........................................................................................................................................ 4
Demo Customization ................................................................................................................................. 6
GUI Customization ................................................................................................................................ 6
Optional Parameters ............................................................................................................................. 7
Tracker Parameter Customization ........................................................................................................ 8
Tracker Parameter Description ......................................................................................................... 8
Scenery Parameters .......................................................................................................................... 8
Gating Parameters ............................................................................................................................ 9
State Transition Parameters ........................................................................................................... 10
Allocation Parameters ..................................................................................................................... 10
Variation Parameters ...................................................................................................................... 11
Step by Step procedure for Demo Customization ...................................................................................... 12
Further Reading .......................................................................................................................................... 12
People Counting Tuning Guide Version 2.1.0
Common Demo Customization
Below are 3 common demo customization requests. These will explain which parameters to change. For
detailed description of the parameters, see the parameters description section.
Too Few Detections
There are multiple parameters that affect when a person can be positively identified and tracked.
First, make sure you are using a chirp that extends to the range at which you want to detect people.
Find a Chirp development tool here. Then consider changing these three parameters:
1) Allocation Parameters – SNR Threshold
2) Allocation Parameters – Points Threshold
3) Allocation Parameters – Velocity Threshold
At a distance, the reflected signal will be weaker. This will decrease the SNR of the target points, and
potentially reduce the size of the point cloud. By lowering the Points threshold, fewer points are
needed to allocate a track to the cluster. Lowering the SNR threshold will lower the cumulative SNR
required for an allocation set to be considered a track. Lowering the Velocity threshold will allow a
person to make very tiny movements and be tracked. Be careful, as lowering these parameters
increases the chance of false detection.
Too Many Detections (Ghosts)
Sometimes, multipath reflections- Radar Energy reflected from a person being reflected again from
a wall or some object, will cause the tracker to produce a false detection. These false detections are
called ghosts. Ghosts can be caused by multiple phenomena, but there are many tools in the People
Counting software to minimize or completely remove ghosting.
Start by properly setting the scenery parameters. Many ghosts caused by multipath reflections will
appear outside of the detection area. These can be immediately ruled out if the scenery parameters
are properly set.
In cases where the ghost appears in the valid area, you may try changing other parameters:
1) Allocation Parameters – SNR Threshold
2) Allocation Parameters – Points Threshold
3) State Transition Parameters – Det2Active Threshold
4) State Transition Parameters – Det2Free, Static2Free, Active2Free, exit2Free
The first three parameters in the list can be used to reduce false detections. Ghosts will usually have
fewer points with lower SNRs. Increasing the Points Threshold and SNR Threshold will stop the
tracker from allocating these clusters as tracks. Increasing the Det2Active threshold will increase the
amount of time the ghost has to exist before it is promoted to ACTIVE state. In the case where a
ghost only appears momentarily, this can stop the tracker from tracking it.
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