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To configure the Object tracker detection tooldetector, do the following:
- Go to the Detection ToolsDetectors tab.
Below the required camera, click Create… → Category: Trackers → Object tracker.
By default, the detection tool detector is enabled and set to detect moving objects in the frame, on the basis of which their tracks are created.
Some parameters are set for all sub-detectors of the Object tracker simultaneously (see Recommendations for configuring the Object tracker and its sub-detectors).
If necessary, you can change the detection tool detector parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|
| Object features |
| Record objects tracking | Yes | |
metadata is recorded into objects' tracks are recorded to the database. To disable |
metadata the recording, select the No value |
.| Note |
|---|
| To obtain metadata, the video is decompressed and analyzed, which results in a heavy load on the server and limits the number of |
|
video select the stream for which detection is needed cameras that can be used on it. |
|
| No |
| Video stream | Main stream |
If the camera supports multistreaming, For multi-stream cameras, select a stream for detection. Selecting a low-quality video stream |
allows you to reduce .To ensure For the correct display of |
|
streams on tracks in a multi-stream camera, all video streams must have the same |
|
frame |
| Other |
| Enable | Yes | By default, the |
parameter | detector is enabled. To disable it, select the No value |
| No |
| Name | Object tracker | Enter the |
detection tool | detector name or leave the default name |
| Decoder mode | Auto | Select a |
processing resource processor for decoding video streams. When you select a GPU, a stand-alone graphics card takes priority (when decoding with Nvidia NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources |
will be are used for decoding |
| CPU |
| GPU |
| HuaweiNPU |
| Type | Object tracker | Name of the |
detection tool | detector type (non-editable field) |
Neural network filter
|
Enable filter
| Yes
| By default, the neural network filter is disabled. To |
enable a neural network to filter parts of tracks, ). For example, a neural network filter can process the results of the tracker and filter out false positives on a complex video image (foliage, glare, etc..A You can use a neural network filter |
|
can be used only for the analysis of moving objects or |
|
only for the analysis of abandoned objects. You cannot use two neural network filters simultaneously. |
|
No
|
Moving object filter mode
| CPU | |
other processing resource - another processor than the CPU, this device
|
|
will carry the - carries most of the computing load. However, the CPU
|
|
will be detection tool- detector.
- It can take several minutes to launch the algorithm on the NVIDIA GPU after you apply the settings. You can use caching to speed up future launches (
|
|
see
|
| Nvidia GPU 0 |
| Nvidia GPU 1 |
| Nvidia GPU 2 |
| Nvidia GPU 3 |
| Intel NCS (not supported) |
| Intel HDDL (not supported) |
| Intel Multi-GPU |
| Intel GPU 0 |
| Intel GPU 1 |
| Intel GPU 2 |
| Intel GPU 3 |
| Huawei NPU |
Abandoned object filter mode
| CPU |
| Nvidia GPU 0 |
| Nvidia GPU 1 |
| Nvidia GPU 2 |
| Nvidia GPU 3 |
| Intel NCS (not supported) |
| Intel HDDL (not supported) |
| Intel Multi-GPU |
| Intel GPU 0 |
| Intel GPU 1 |
| Intel GPU 2 |
| Intel GPU 3 |
| Huawei NPU |
Moving object filter file
| | Select the required neural network. To obtain a neural network, contact AxxonSoft technical support. If the neural network file |
is not isn't selected or selected incorrectly, the filter |
will not workdoesn't work | Note |
|---|
| - You cannot specify the network file in Windows OS. You must place the neural network file locally, that is, on the same server where you install Axxon One.
- For correct neural network operation on Linux OS, place the corresponding file locally in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory or in the network folder with the corresponding access rights.
|
|
| Abandoned object filter file | |
Basic settings
|
Long-time abandoned object detection
| Yes
| By default, the parameter is disabled. To |
enableuse the long-time abandoned object detection, select theYesvalue. |
| Info |
|---|
|
this the Long-time abandoned object detection and the Enable filter |
parameter parameters, it can reduce the number of false positives during detection |
. |
No
|
Abandoned object detection
| Yes
| By default, the parameter is disabled. To |
enableuse the abandoned object detection, select theYesvalue. |
| Info |
|---|
|
Objects abandoned for 10 seconds or longer |
will be .Set Enter the maximum height and width of the detected object as a percentage of the frame |
sizeheight/width. We recommend specifying the value so that it is slightly larger than the typical object in the image, taking into account its shadow. The detector doesn't generate an event if an object is larger or smaller. The value must be in the range [0.05, 100] |
.| Note |
|---|
| If you enable the Object calibration parameter |
|
is enabled in the tracker settings, then |
|
the height widthminimum sizes of the objects |
|
is are set in decimeters in the Leveling rod height parameter and not as a percentage of the frame size. |
|
| Max. object width | 100
|
| Alarm on object's max. idle time in area | 60
| |
seconds—if seconds exceeding which the object |
remains idle for the time longer than the specified, it will be is detected. This value must be in the range [15, 1800] |
.| Info |
|---|
| This parameter is used only for the Long-time abandoned object detection. |
|
It is recommended to select We recommend selecting the parameter value starting from 15. |
|
| Min. object height | 2
|
Set Enter the minimum height and width of the detected object as a percentage of the |
frame sizeheight/width of the frame. We recommend specifying the value so that it is slightly smaller than the typical object in the image. The detector doesn't generate an event if an object is larger or smaller. The value must be in the range [0.05, 100] |
.| Note |
|---|
| If you enable the Object calibration parameter |
|
is enabled in the tracker settings, then |
|
the minimum height and width of objects is the maximum and minimum sizes of the objects are set in decimeters in the Leveling rod height parameter and not as a percentage of the frame size. |
|
| Min. object width | 2
|
Motion detection sensitivity
| 25
|
Set Enter the sensitivity of the motion sub-detectors |
in percentage as a percentage. To detect objects with low contrast, the recommended sensitivity value is 35, for high-contrast objects, it is 15. The higher the sensitivity, the |
more subtle change fewer changes in the frame |
will be are detected. The value must be in the range [0, 100] |
| Abandoned object detection sensitivity | 9
|
Set Enter the sensitivity for abandoned object detection and long-time abandoned object detection as a percentage. The value must be in the range [ |
1.This parameter The abandoned object detection sensitivity depends on the lighting conditions and |
|
must be chosen It is recommended to select We recommend selecting the parameter value starting from 20. To detect objects with low contrast, the recommended sensitivity value is 35, for high-contrast objects, it is 15. |
|
Advanced settings
|
Auto sensitivity
| Yes
| |
the parameter the Auto sensitivity is enabled. We recommend enabling this parameter if the lighting changes significantly. To disable automatic adjustment of the sensitivity of |
the the Object tracker sub-detectors, select theNovalue |
.It is recommended to enable We recommend enabling this parameter if the lighting changes significantly |
|
in FOV operation (for example, if the camera operates outdoors). |
|
No
|
Track lifespan (starting with Detector Pack 3.14)
| Yes | By default, the parameter is disabled. If you want to display the track lifespan for an object in seconds, select the Yes value |
| No |
Leveling rod height
| 20
|
Set Enter the actual height of |
the calibration an object in decimeters that will be used as a reference (for example, the average height of a person). The value must be in the range [1, 100] |
Frame size change
| 1280
| By default, during the analysis, the frame is compressed to the specified size (by default, 1280 pixels on the larger side). The following algorithm is used: - If the original resolution on the larger side of the frame is greater than the resolution specified in the Frame size change parameter, then it is divided in half.
- If the resulting resolution becomes less than the specified one, then the algorithm stops and the resulting resolution
|
will be - is used.
- If the resulting resolution is still greater than the specified one, then it is divided in half again until it becomes
|
less than the resolution specified in the Frame size change parameter| Info |
|---|
| For example, the original video resolution is 2048x1536, the specified value is 1000. In this case, the original resolution |
|
will be is divided in half (512x384) twice |
|
, because after the first division, the value on the larger side of the frame |
|
will be is greater than the specified value (1024 > 1000).
If detection errors occur when using a higher resolution stream |
|
is used for detection and there are detection errors, it is recommended to reduce , we recommend reducing compression. |
|
Object calibration
| Yes
| |
the parameter object calibration is disabled |
(see Configuring perspective) real size of an object based on a simplified calibration system, select theYesvalueactual sizes of objects in a scene (for example, a height of a person) when analyzing a video image taking into account perspective distortions, select theYesvalue
| Note |
|---|
| - If you select the Yes value for the Object calibration parameter but don't set any leveling rod, the Object tracker is inoperable and doesn't generate tracks (track objects).
- The correct Object calibration is impossible when you use cameras with optical distortions (for example, fisheye cameras).
|
|
No
|
Camera position
| Wall
|
If you use a fish-eye camera, choose | To filter out false events when using a fisheye camera, select the correct location of the device |
to filter out false events is is not | isn't relevant for all other devices |
Ceiling
|
Antishaker
| Yes
| By default, the parameter is disabled. To reduce camera shake, select theYesvalue. |
It is recommended to use | We recommend using this parameter only when there is significant camera shake |
No
|
By default, the entire frame is a detection area.If necessary, in the preview window, set:
- one or more detection areas (see Configuring a detection area),
- one or more skip ignore areas (see Configuring a skip the ignore area).
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- visual size of objects (the No value is selected in the Object calibration parameter):
- Click the min
Image Added button in the preview window. A rectangular area appears in the frame. Drag the anchor points to adjust the area to the minimum object size. The values update automatically in the Min. object height and Min. object width parameters.
Image Added - Click the max
Image Added button in the preview window. A rectangular area appears in the frame. Drag the anchor points to adjust the area to the maximum object size. The values update automatically in the Max. object height and Max. object width parameters.
Image Added
- leveling rods (the Yes value is selected in the Object calibration parameter. The height of an object in decimeters is specified in the Leveling rod height parameter):
- Click the
Image Added button in the preview window. - In the window, click the mouse button.
- From the list, select Leveling rod position.
- Click the
Image Added button in the preview window. - Specify visually the dimensions of the same object in different parts of the frame. To ensure accurate calibration, the following conditions must be met:
- The leveling rod is set precisely according to a reference object (for example, the height of a person) standing in a given place in the scene.
Image Added - You set at least three leveling rods in the frame.
- All bottom points (bases) of the leveling rods are on the same physical plane (for example, the floor).
- The bottom anchor points of any three leveling rods aren't positioned on the same line (horizontal, vertical, inclined, and so on).
- Leveling rods are evenly distributed across the entire frame, covering the areas where objects are expected to appear. The larger the coverage area, the higher the accuracy.
- Objects located at the same distance from the camera are marked in the frame with leveling rods of the same height.
- For simple scenes, 3-5 leveling rods are set. For complex scenes with deep perspective, we recommend setting up to 10-15 leveling rods.
To create one leveling rod, add two anchor points by left-clicking in the frame:
- The first point is the base of an object (for example, a person's feet).
- The second point is the top of an object (for example, the top of a person's head).
| Info |
|---|
|
- To stop the video, click the
 Image Added button . Click this button again to resume playback. - To hide detection and/or ignore areas, click the
 Image Added button . Click this button again to display the areas. - To resize a leveling rod, click and hold down the anchor point and drag it in the required direction.
- You can move the leveling rod by drag-and-dropping it.
- To delete a created leveling rod or area, click the
 Image Added button
|
...
To save the parameters of the detection tooldetector, click the Apply 
Image Removed
Image Added button. To cancel the changes, click the Cancel Image Removed 
Image Added button.
The Configuration of the Object tracker detection tool detector is configured. General parameters will be set for all its sub-detectors. complete. If necessary, you can create and configure the necessary sub-detectors on the basis of the the Object tracker (see Abandoned object, Standard sub-detectors). General parameters are set for all its sub-detectors.
